We are a proud work-from-office company. If you're ready to work on-site in a dynamic, global company, wed love to hear from you. Position Summary Do you have a passion for building data architectures that enable smooth and seamless product experiences? Are you an all-around data enthusiast with a knack for ETL? We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. Weve built a strong data engineering team to date, but have a lot of work ahead of us, including: <ul><li>Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds </li><li>Defining streaming event data feeds required for real-time analytics and reporting </li><li>Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performance </li></ul>As a Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for our product. Help us scale our business to meet the needs of our growing customer base and develop new products on our platform. You'll be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process. Youll have the chance to work in an open and collaborative environment, receive hands-on mentorship and have ample opportunities to grow and accelerate your career! Responsibilities <ul><li>Build our next generation data warehouse </li><li>Build our event stream platform </li><li>Translate user requirements for reporting and analysis into actionable deliverables </li><li>Enhance automation, operation, and expansion of real-time and batch data environment </li><li>Manage numerous projects in an ever-changing work environment </li><li>Extract, transform, and load complex data into the data warehouse using cutting-edge technologies </li><li>Build processes for topnotch security, performance, reliability, and accuracy </li><li>Provide mentorship and collaborate with fellow team members </li></ul>Qualifications <ul><li>Bachelors or Masters degree in Computer Science, Information Systems, Operations Research, or related field required </li><li>3+ years of experience building data pipelines </li><li>3+ years of experience building data frameworks for unit testing, data lineage tracking, and automation </li><li>Fluency in Scala is required </li><li>Working knowledge of Apache Spark </li><li>Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink) </li></ul>Nice-to-Haves <ul><li>Experience with Machine Learning </li><li>Familiarity with Looker a plus </li><li>Knowledge of additional server-side programming languages (e.g. Golang, C#, Ruby) </li></ul> PrismHR is a fast-paced SaaS company which provides customers with a cloud-based payroll process software application. PrismHR also provides professional services including system implementation consulting, custom configurations, and training. Lastly, via the Companys Marketplace platform customers and end users access other human resources and employee benefits applications from PrismHRs Marketplace Partners. Diversity, Equity and Inclusion Program/Affirmative Action Plan: We have transformed our company into an inclusive environment where individuals are valued for their talents and empowered to reach their fullest potential. At PrismHR, we strive to continually lead with our values and beliefs that enable our employees to develop their potential, bring their full self to work, and engage in a world of inclusion. Ensuring an inclusive environment for our employees is an integral part of the PrismHR culture. We aren't just checking a box, we are truly committed to creating a workplace that celebrates the diversity of our employees and fosters a sense of belonging for everyone. This is essential to our success. We are dedicated to building a diverse, inclusive, and authentic workplace, so if youre excited about our roles but your past experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for these open roles or other open roles. We particularly encourage applicants from traditionally under-represented groups as we seek to increase the diversity of our workforce and provide fair opportunities for all. As a proud Equal Opportunity and Affirmative Action Employer, PrismHR encourages talent from all backgrounds to join our team. Employment decisions are based on an individuals qualifications as they relate to the job under consideration. The Companys policy prohibits unlawful discrimination based on sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions, the actual sex of the individual, or the gender identity or gender expression), race, color, religion, including religious dress practices and religious grooming practices, sexual orientation, national origin, ancestry, citizenship, marital status, familial status, age, physical disability, mental disability, medical condition, genetic information, protected veteran or military status, or any other consideration made unlawful by federal, state or local laws, ordinances, or regulations. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company and prohibits unlawful discrimination by any employee of the Company, including supervisors and co-workers. Privacy Policy: For information about how we collect and use your personal information, please see our privacy statement available at https://www.prismhr.com/about/privacy-policy. PrismHR provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need a reasonable accommodation due to a disability, you may use the following alternative email address to contact us about your interest in employment at PrismHR: taglobal@prismhr.com. Please indicate in the subject line of your email that you are requesting accommodation. Only candidates being considered for a position who require an accommodation will receive a follow-up response. #LI-ML1

Since 2010 and almost 14 years SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Post Covid the tech Layoffs have been massive-In 2022 there were 165,269 tech layoffs, In 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi ) -Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The Job market is Hyper Competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get Interviews and eventually a Job Offer. Survival of the Fittest is the only way to get a tech Job in this job market. In this Layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k + salaries once they acquire the required skills. please check the below links to see success outcomes, salaries of our candidates . https://www.synergisticit.com/candidate-outcomes/ We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 https://synergisticit.wistia.com/medias/tmwjwchxz5 https://synergisticit.wistia.com/medias/n8487768di https://synergisticit.wistia.com/medias/o5gmv7i9eu https://synergisticit.wistia.com/medias/k6t6a1n4kb https://synergisticit.wistia.com/medias/pgrvq4fgni https://synergisticit.wistia.com/medias/ce4syhm853 All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions REQUIRED SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidate.

Job Description
We are a proud work-from-office company. If you're ready to work on-site in a dynamic, global company, we’d love to hear from you.
Position Summary Do you have a passion for building data architectures that enable smooth and seamless product experiences? Are you an all-around data enthusiast with a knack for ETL? We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data.
We’ve built a strong data engineering team to date, but have a lot of work ahead of us, including:
<ul>
<li>Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds</li>
<li>Defining streaming event data feeds required for real-time analytics and reporting</li>
<li>Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performance</li>
</ul>
As a Senior Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for our product.
Help us scale our business to meet the needs of our growing customer base and develop new products on our platform. You'll be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process. You’ll have the chance to work in an open and collaborative environment, receive hands-on mentorship and have ample opportunities to grow and accelerate your career!
Responsibilities
<ul>
<li>Build our next data warehouse</li>
<li>Build our event stream platform</li>
<li>Translate user requirements for reporting and analysis into actionable deliverables</li>
<li>Enhance automation, operation, and expansion of real-time and batch data environment</li>
<li>Manage numerous projects in an ever-changing work environment</li>
<li>Extract, transform, and load complex data into the data warehouse using cutting-edge technologies</li>
<li>Build processes for topnotch security, performance, reliability, and accuracy</li>
<li>Provide mentorship and collaborate with fellow team members</li>
</ul>
Requirements
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Information Systems, Operations Research, or related field required</li>
<li>5+ years of experience building data pipelines</li>
<li>5+ years of experience building data frameworks for unit testing, data lineage tracking, and automation</li>
<li>Fluency in Scala is required</li>
<li>Working knowledge of Apache Spark</li>
<li>Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink)</li>
</ul>
Nice to Have
<ul>
<li>Experience with Machine Learning</li>
<li>Familiarity with Looker a plus</li>
<li>Knowledge of additional server-side programming (e.g. Golang, C#, Ruby)</li>
</ul>
PrismHR is a fast-paced SaaS company which provides customers with a cloud-based payroll process software application. PrismHR also provides professional services including system implementation consulting, custom configurations, and training.
Equity and Program/Affirmative Action Plan: We have transformed our company into an inclusive environment where individuals are valued for their talents and empowered to reach their fullest potential. At PrismHR, we strive to continually lead with our values and beliefs that enable our employees to develop their potential, bring their full self to work, and engage in a world of inclusivity.
Ensuring an inclusive environment for our employees is an integral part of the PrismHR culture. We aren't just checking a box, we are truly committed to creating a workplace that celebrates the diversity of our employees and fosters a sense of belonging for everyone. This is essential to our success. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about our roles but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.
As a proud Equal Opportunity and Affirmative Action Employer, PrismHR encourages talent from all backgrounds to join our team. Employment decisions are based on an individual’s qualifications as they relate to the job under consideration.
Privacy Policy: For information about how we collect and use your personal information, please see our privacy statement available at <a href="#">https://www.prismhr.com/about/privacy</a>-policy.
PrismHR provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need a reasonable accommodation due to a disability, you may use the following alternative email address to contact us about your interest in employment at PrismHR: <a href="#">taglobal@prismhr.com</a>. Please indicate in the subject line of your email that you are requesting accommodation. Only candidates being considered for a position who require an accommodation will receive a follow-up response.
#J-18808-Ljbffr

We are a proud work-from-office company. If you're ready to work on-site in a dynamic, global company, we’d love to hear from you. Position Summary Do you have a passion for building data architectures that enable smooth and seamless product experiences? Are you an all-around data enthusiast with a knack for ETL? We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data.We’ve built a strong data engineering team to date, but have a lot of work ahead of us, including:<ul><li>Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds.</li><li>Defining streaming event data feeds required for real-time analytics and reporting.</li><li>Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performance.</li></ul>As a Senior Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for our product.Help us scale our business to meet the needs of our growing customer base and develop new products on our platform. You'll be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process. You’ll have the chance to work in an open and collaborative environment, receive hands-on mentorship, and have ample opportunities to grow and accelerate your career!Responsibilities<ul><li>Build our event stream platform.</li><li>Translate user requirements for reporting and analysis into actionable deliverables.</li><li>Enhance automation, operation, and expansion of real-time and batch data environment.</li><li>Manage numerous projects in an ever-changing work environment.</li><li>Extract, transform, and load complex data into the data warehouse using cutting-edge technologies.</li><li>Build processes for topnotch security, performance, reliability, and accuracy.</li><li>Provide mentorship and collaborate with fellow team members.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, Operations Research, or related field required.</li><li>5+ years of experience building data pipelines.</li><li>5+ years of experience building data frameworks for unit testing, data lineage tracking, and automation.</li><li>Fluency in Scala is required.</li><li>Working knowledge of Apache Spark.</li><li>Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink).</li></ul>Nice to Have<ul><li>Experience with Machine Learning.</li><li>Familiarity with Looker a plus.</li><li>Knowledge of additional server-side programming languages (e.g. Golang, C#, Ruby).</li></ul>PrismHR is a fast-paced SaaS company which provides customers with a cloud-based payroll process software application. PrismHR also provides professional services including system implementation consulting, custom configurations, and training.Diversity, Equity and Inclusion Program/Affirmative Action Plan: We have transformed our company into an inclusive environment where individuals are valued for their talents and empowered to reach their fullest potential. At PrismHR, we strive to continually lead with our values and beliefs that enable our employees to develop their potential, bring their full self to work, and engage in a world of inclusion.Ensuring an inclusive environment for our employees is an integral part of the PrismHR culture. We aren't just checking a box, we are truly committed to creating a workplace that celebrates the diversity of our employees and fosters a sense of belonging for everyone. This is essential to our success.We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about our roles but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for these open roles or other open roles. We particularly encourage applicants from traditionally under-represented groups as we seek to increase the diversity of our workforce and provide fair opportunities for all.As a proud Equal Opportunity and Affirmative Action Employer, PrismHR encourages talent from all backgrounds to join our team. Employment decisions are based on an individual’s qualifications as they relate to the job under consideration.
#J-18808-Ljbffr

We are a proud work-from-office company. If you're ready to work on-site in a dynamic, global company, we’d love to hear from you. Position Summary Do you have a passion for building data architectures that enable smooth and seamless product experiences? Are you an all-around data enthusiast with a knack for ETL? We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We’ve built a strong data engineering team to date, but have a lot of work ahead of us, including:<ol><li>Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds.</li><li>Defining streaming event data feeds required for real-time analytics and reporting.</li><li>Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performance.</li></ol>As a Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for our product. Help us scale our business to meet the needs of our growing customer base and develop new products on our platform. You'll be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process. You’ll have the chance to work in an open and collaborative environment, receive hands-on mentorship and have ample opportunities to grow and accelerate your career! Responsibilities<ul><li>Build our next generation data warehouse.</li><li>Build our event stream platform.</li><li>Translate user requirements for reporting and analysis into actionable deliverables.</li><li>Enhance automation, operation, and expansion of real-time and batch data environment.</li><li>Manage numerous projects in an ever-changing work environment.</li><li>Extract, transform, and load complex data into the data warehouse using cutting-edge technologies.</li><li>Build processes for topnotch security, performance, reliability, and accuracy.</li><li>Provide mentorship and collaborate with fellow team members.</li></ul>Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, Operations Research, or related field required.</li><li>3+ years of experience building data pipelines.</li><li>3+ years of experience building data frameworks for unit testing, data lineage tracking, and automation.</li><li>Fluency in Scala is required.</li><li>Working knowledge of Apache Spark.</li><li>Familiarity with streaming technologies (e.g., Kafka, Kinesis, Flink).</li></ul>Nice-to-Haves<ul><li>Experience with Machine Learning.</li><li>Familiarity with Looker a plus.</li><li>Knowledge of additional server-side programming languages (e.g. Golang, C#, Ruby).</li></ul>
#J-18808-Ljbffr

NO H1b Candidate required
Job Description :  Data Engineer
Responsibilities
Design, build, and maintain scalable, reliable data pipelines and systems to support data ingestion, transformation, and storage.
Develop and optimize ETL (Extract, Transform, Load) processes to handle large datasets efficiently.
Collaborate with data scientists, analysts, and software engineers to implement robust data solutions.
Implement and manage databases, data warehouses, and data lakes (e.g., Redshift, Snowflake, BigQuery).
Create and maintain data architecture documentation and workflows.
Monitor and troubleshoot performance and data-related issues.
Ensure data quality and governance by implementing validation mechanisms and compliance standards.
Work with cloud-based platforms (AWS, Azure, GCP) for data processing and storage.
Drive continuous improvement in data engineering practices and processes.
Qualifications
Required Skills
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
3+ years of experience as a Data Engineer or in a similar role.
Strong experience with SQL and relational databases.
Proficiency in programming languages such as Python, Java, or Scala.
Experience building and optimizing ETL pipelines and workflows.
Familiarity with big data technologies like Hadoop, Spark, or Kafka.
Knowledge of cloud-based data services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).
Strong understanding of data modeling, data warehousing, and data lakes.
Hands-on experience with data visualization tools (e.g., Tableau, Power BI).
Preferred Skills
Experience with containerization and orchestration tools like Docker and Kubernetes.
Familiarity with real-time data processing.
Experience with CI/CD pipelines for data engineering.
Knowledge of data governance and compliance (e.g., GDPR, CCPA).
Certification in cloud technologies like AWS Certified Data Analytics, Azure Data Engineer, or GCP Data Engineer.

NO H1b Candidate required Job Description: Data Engineer Responsibilities<ul><li>Design, build, and maintain scalable, reliable data pipelines and systems to support data ingestion, transformation, and storage.</li><li>Develop and optimize ETL (Extract, Transform, Load) processes to handle large datasets efficiently.</li><li>Collaborate with data scientists, analysts, and software engineers to implement robust data solutions.</li><li>Implement and manage databases, data warehouses, and data lakes (e.g., Redshift, Snowflake, BigQuery).</li><li>Create and maintain data architecture documentation and workflows.</li><li>Monitor and troubleshoot performance and data-related issues.</li><li>Ensure data quality and governance by implementing validation mechanisms and compliance standards.</li><li>Work with cloud-based platforms (AWS, Azure, GCP) for data processing and storage.</li><li>Drive continuous improvement in data engineering practices and processes.</li></ul>QualificationsRequired Skills<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).</li><li>3+ years of experience as a Data Engineer or in a similar role.</li><li>Strong experience with SQL and relational databases.</li><li>Proficiency in programming languages such as Python, Java, or Scala.</li><li>Experience building and optimizing ETL pipelines and workflows.</li><li>Familiarity with big data technologies like Hadoop, Spark, or Kafka.</li><li>Knowledge of cloud-based data services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).</li><li>Strong understanding of data modeling, data warehousing, and data lakes.</li><li>Hands-on experience with data visualization tools (e.g., Tableau, Power BI).</li></ul>Preferred Skills<ul><li>Experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Familiarity with real-time data processing.</li><li>Experience with CI/CD pipelines for data engineering.</li><li>Knowledge of data governance and compliance (e.g., GDPR, CCPA).</li><li>Certification in cloud technologies like AWS Certified Data Analytics, Azure Data Engineer, or GCP Data Engineer.</li></ul>

Exciting Opportunity for Senior Data Engineers to Join a Leading Firm in Machine Learning and Data Engineering!Are you a passionate data engineer with strong Python and PostgreSQL skills? Do you thrive in environments where innovation drives success? If so, the company is looking for a talented Senior Data Engineer to play a pivotal role in their data architecture and machine learning initiatives.Company Overview:The company is a prestigious investment firm with a focus on quality and value. With its roots in top-tier investment groups, the company leverages machine learning to revolutionize investigative journalism and augment research capabilities. The company fosters a collaborative, cutting-edge environment where technology and innovation thrive, providing team members with the opportunity to work on some of the most exciting data engineering projects in the industry.Role Overview:As a Senior Data Engineer, you will be responsible for building, optimizing, and managing complex data pipelines that support machine learning workflows. This is an exciting opportunity to work closely with the company's data architecture, collaborate with cross-functional teams, and make a meaningful impact on data transformation initiatives. You will also help shape the database infrastructure, ensuring best practices in data governance and security.Key Responsibilities:<ul><li>Database Management & Architecture: Collaborate with the team to manage the database architecture, including database permissions and optimization.</li><li>ETL Pipeline Development: Build and optimize ETL pipelines to support ML initiatives and remove bottlenecks in data flow.</li><li>Data Onboarding & Integration: Onboard new data sets and integrate them into existing data systems.</li><li>Implement Change Data Capture (CDC): Convert high-priority tasks to CDC to streamline data processing.</li><li>Data Security & Governance: Ensure best practices are followed in data governance and security, including permission management.</li><li>Optimization & Performance Tuning: Develop high-performance Python code and fine-tune database queries for optimal performance.</li></ul>Skills for Success:<ul><li>Python: Proficiency in Python for building high-performance data pipelines and optimizing code.</li><li>PostgreSQL: Strong experience with PostgreSQL, including query optimization, indexing, and performance tuning.</li><li>ETL Tools: Experience with data transformation tools such as dbt, SQL mesh, or similar.</li><li>Database Architecture & Security: Solid understanding of database design, security practices, and managing permissions.</li><li>Change Data Capture (CDC): Familiarity with implementing CDC for efficient data processing.</li><li>NoSQL: Experience with NoSQL databases like Cassandra is a plus.</li><li>Machine Learning Knowledge: Understanding of how data pipelines integrate with machine learning workflows is desirable.</li></ul>Key Selling Points:<ul><li>Competitive Salary: Base salary range of $110K - $165K, with opportunities for growth.</li><li>Generous Benefits: Comprehensive health insurance (dental, vision), 15 days PTO (increasing over time), 401k with 3% match, and extended leave options for caregivers and adoptive parents.</li><li>Innovative Work Environment: Opportunity to work on cutting-edge machine learning projects and be a key part of the company's data engineering initiatives.</li><li>Career Growth: Strong focus on professional development and the potential for long-term growth within the company.</li><li>Flexible & Collaborative Culture: Work in a flexible and dynamic environment with a passionate, collaborative team.</li></ul>If you're ready to take your career to the next level and work on exciting, impactful projects, the company is eager to hear from you! Apply today to join a team at the forefront of innovation in data engineering and machine learning.Location: Chandler, AZ (5 days a week onsite)

Data Engineer Jobs in Chandler, AZ

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December 19, 2024

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December 7, 2024

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November 24, 2024

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Senior Data EngineerNovember 24, 2024