Job Title: GCP Data Engineer
Location: Woonsocket, RI / Dallas, TX (Onsite)
Duration : Full Time

Job Description:
Strong skills in Python Programming
Strong Experience in SQL
Experience with data pipeline and workflow management tool: GCP Data Proc, Composser and GCS
Strong experience in handling window function in SQL
BigQuery Experience
Roles and Responsibilities:

Support analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Support and monitor the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, and GCP 'big data' technologies.
Work with data and analytics experts to strive for greater functionality in our data systems.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Developing, supporting and monitoring data pipelines.
Work closely with client to Client needs, collect appropriate data, and deliver valuable data products.
Provide valuable insights from data sets quickly.

ETQ part of Hexagon Manufacturing Intelligence division is seeking a Senior Data Engineer. <h3>Job Responsibilities </h3><ul><li>Collaborate on system architecture for all data analytics aspects of our enterprise/SaaS product. </li><li>Develop the data analytics capabilities of the enterprise/SaaS product. </li><li>Maintain current knowledge of machine learning principles, tools, and techniques. </li><li>Develop out of the box business intelligence dashboards and applications for data analytics and visualization. </li><li>Maintain knowledge of modern SaaS-based data analytics architectures, systems, and tools. </li><li>Develop features of the data analytics product to allow configuration of the visualizations in alignment with configuration of the ETQ applications. </li><li>Collaborate on the data-related software processes and functions such as ETL processes, data management, ML algorithms, AI data models, etc. </li><li>Understand and contribute to the architecture and design of transactional, data warehouse, and analytic databases. </li><li>Collaborate on troubleshooting data-related code issues found through internal testing and customer feedback. </li><li>Working with other team members (engineers, BI analysts, data scientists, QA) as part of an agile team using Scrum (using JIRA). </li><li>Develop prototypes and proofs of concepts. </li><li>Debug applications, trace code, and find and fix bugs as well as identify software flaws and poor implementation, and propose effective solutions. </li><li>Implement automated test cases that exercise and test the produced code. </li><li>Handle customer feedback on the delivered projects. </li><li>Communicate with customers when applicable, to address and troubleshoot reported issues, which requires excellent skills in managing customer meetings, phone etiquette, etc. </li><li>Provide periodic updates for issues on hand, and get them resolved within internal SLAs, to meet internal and external customer satisfaction. </li><li>Regularly update stories including progress, status, and documentation for projects. </li><li>Effectively use the different development tools necessary to do the required job. For example: IDE, SQL Editors, Database management tools, BI tools, etc.). </li><li>Demonstrate high quality technical and business documentation skills. </li><li>Mentoring team members. </li> </ul><h3>Qualifications </h3><ul><li>B.S. Degree or higher in Computer Science, Computer Information Systems, Data Science, Artificial Intelligence, Machine Learning or related discipline. </li><li>You are a passionate, expert data engineer and have a proven track record in delivering data analytics solutions using AI models and pipelines and ML algorithms. </li><li>Ownership of the full software development lifecycle is important to you - from understanding requirements and analysis, TDD, design, development, deploying, releasing, and then support. </li><li>Knowledgeable analytics developer using tools like Tableau, Power BI, Data Cloud, Looker, and Amazon QuickSight, including system configuration, integration via APIs, and performance tuning. </li><li>Passionate about Agile software development methodology and experienced with best practices. </li><li>Knowledgeable in ETL and data warehouse development skills including a good understanding and practical application of dimensional modeling and SQL. </li><li>Experienced in using version control tools, using CI tools, and automation of the SDLC. </li><li>Good and proven ability to develop efficient code, factoring cost and performance into development. </li><li>Excellent data analysis skills, able to troubleshoot and problem solve effectively. </li><li>Excellent verbal, written communication skills with an ability to converse appropriately with business users and technical teams. </li><li>Good understanding of data privacy and security considerations. </li><li>Familiarity with at least one of Amazon Web Services, Azure, or Google Cloud Platform. </li><li>Familiarity with high-scale cloud architecture and business intelligence and data analytics systems. </li><li>Ability to handle multiple projects and assignments simultaneously and effectively in a cross-functional team environment. </li><li>Self-starter, ability to set priorities, work independently and attain goals. </li><li>Knowledge of MySQL. </li><li>Knowledge of C# and .NET. </li><li>Knowledge of scripting languages such as Python. </li> </ul>#J-18808-Ljbffr

Job Title: GCP Data Engineer
Location: Woonsocket, RI / Dallas, TX (Onsite)
Duration : Full Time Job Description:
Strong skills in Python Programming
Strong Experience in SQL
Experience with data pipeline and workflow management tool: GCP Data Proc, Composser and GCS
Strong experience in handling window function in SQL
BigQuery Experience
Roles and Responsibilities: Support analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Support and monitor the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, and GCP 'big data' technologies.
Work with data and analytics experts to strive for greater functionality in our data systems.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Developing, supporting and monitoring data pipelines.
Work closely with client to Client needs, collect appropriate data, and deliver valuable data products.
Provide valuable insights from data sets quickly.

Data Engineer

Location : Name Linked

Remote - US

ID

2024-6256

Job Locations

US-Remote

Category

R&D - Product

Type

Regular Full-Time

Overview

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
At Groups, Data Engineer will work closely with other data engineers, analysts, and software developers. As a Data Engineer focusing on dbt development in Snowflake, you will play a pivotal role in supporting care delivery and operations by transforming raw data into meaningful, business-ready datasets. This role requires strong experience with SQL query writing, data modeling, dbt, and Snowflake.

Responsibilities

Design, develop, and maintain scalable and optimized data models in dbt and Snowflake.  Collaborate with business stakeholders, data analysts, and data scientists to understand data requirements and ensure robust data models that meet business needs.
Implement and maintain dbt best practices, including version control, testing, and documentation to ensure quality and reliability in data pipelines.
Optimize Snowflake queries, storage, and performance to ensure efficient data processing and retrieval.
Continuously monitor and improve the performance of data pipelines and the overall health of the data infrastructure.
Work with cross-functional teams to resolve data quality issues, implement data governance practices, and ensure data consistency and accuracy.
Maintain clear and organized documentation for dbt models, transformations, and data workflows.

Qualifications

Knowledge, Skills and Abilities:
Expertise with SQL and data modeling.
Experience and appreciation for robust validation and documentation.
Strong communication skills to collaborate with technical and non-technical stakeholders.
Ability to explain complex technical concepts in simple terms.
A passion for data and its potential to drive business value.
Ability to work in a fast-paced environment and adapt to evolving business needs.
Ability to understand and adhere to the Professional Code of Conduct.
Qualifications & Requirements:
Required:
3+ years of experience in data engineering, with a focus on building data pipelines and data transformations.
Demonstrated proficiency with dbt, including experience in creating, maintaining, and optimizing dbt models.
Expertise in Snowflake data warehouse development, including schema design, query optimization, and storage management.
Strong knowledge of SQL and experience working with large datasets.
Strong problem-solving skills and attention to detail, with the ability to work independently and as part of a team.
Preferred:
Experience with Python or other programming languages used in data engineering.
Familiarity with data governance frameworks and tools.
Experience with data visualization tools like Looker, Tableau, or Power BI is a plus.
Knowledge of other cloud platforms like AWS or Azure.

Connect With Us!

Not ready to apply? Connect with us for general consideration.

Greetings, My name is Swati and I'm a recruiter at Syntricate Technologies Inc. Our records show that you are an experienced professional with relevant experience. This experience is relevant to one of my current openings. Job Title : Data Engineer/MLOps Location: Irving, TX (Onsite) Duration :Full Time Job Description: Role: Data Engineer •Minimum 5 years of work experience in building data pipelines using Python, PySpark, DJango. •Hands-On experience in working with Python and related packages (like NumPy, pandas etc.) to load and scrap the data. •Hands-on experience with at least one of the tools the Hadoop eco-system (HDFS, AWS Glue, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka). •Working experience on Relational/Non-relational databases and familiarity with data model concepts •Working exposure in blending as part of larger scrum team and understanding of related scrum ceremonies •Working knowledge of Unix/Linux. •Knowledge of cloud platforms (e.g., AWS, Azure, GCP)

Job Title: GCP Data Engineer Location: Woonsocket, RI / Dallas, TX (Onsite) Duration : Full Time Job Description: Strong skills in Python Programming Strong Experience in SQL Experience with data pipeline and workflow management tool: GCP Data Proc, Composser and GCS Strong experience in handling window function in SQL BigQuery Experience Roles and Responsibilities: Support analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Support and monitor the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, and GCP 'big data' technologies. Work with data and analytics experts to strive for greater functionality in our data systems. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Developing, supporting and monitoring data pipelines. Work closely with client to Client needs, collect appropriate data, and deliver valuable data products. Provide valuable insights from data sets quickly.

Hi, Hope you are doing well Number of position : 3 Only Full Time Full-time I, Shakib (Elias) (i3 infotek) would like to share a job opportunity as Data Engineer (IICS & GBQ) based in Atlanta, GA (Onsite) location for a Full-time position. *** In case, if you are not comfortable with this location, please share your preference with contact details for further requirements *** Kindly find the JD below and let me know if you are available for the same. Job tittle - Data Engineer (IICS & GBQ) Duration: Full-time Location - Atlanta, GA (Onsite) Job description The Data Engineer will analyze, design, develop, performance tuning, test their code as well as others code and support initiatives to build an enterprise integration framework while providing inputs for improving standards for data mapping, integration, and data traceability across the NAPA business functions. •Five or more years' experience in software engineering. •Five or more years' experience in large scale RDBMS environments or Google BigQuery •Two or more years of Exadata experience OR Google BigQuery •Four or more years' experience with Informatica PowerCenter or IICS •One or more years experience in Erwin •Experience in code automation (e.g. pattern based integration) •Experience in advanced SQL and PL/SQL techniques •Experience in building re-usable Utility packages •Experience with testing the code •Focus on continuous improvement •Experience in Unix shell and Python scripting •Integration design & data modeling skills in Data lake and Data Warehousing environments •Experience with Streaming technologies is a plus( STRIIM, Kafka, etc) •Experience with other Informatica tools is plus - e.g., Metadata manager, Analyst, DVO, Data Quality •Exposure to both on-prem and cloud Integration solutions •Familiarity with non-relational DB technologies is a plus •Experience with automated testing •Experience with both batch and real-time patterns for integrations •bility to build and analyze complex integration workflows from heterogeneous data sources •Experienced in large Enterprise Data Warehouse & Integration projects. •Strong background in full lifecycle development using multiple platforms or languages. •bility to interact at a technical and non-technical level with Infrastructure, Network, Development, BA and QA teams. •Development experience in high transaction/high availability systems. •Experience with analyzing and recommending solutions for Production issues short-term and long term RESPONSIBILITIES: •The ETL Engineer performs design, development and implementation of integration processes for both the Enterprise Data lake, Data Warehouse and Applications •nalyzes requirements and existing resources to create efficient database and integration designs that meet company IT standards. •Works with project and business analyst leads to develop and clarify in-depth technical requirements. •Participates in all phases of the integration development lifecycle, including unit testing, quality assurance(QA) and ongoing support. •Helps with Production support as needed Please reply me with your updated resume and required details: Full Name: Best number to reach you: Work authorization/Visa Status: Current Location: Expected Compensation: Best time to call you: Waiting for your earliest response Sincerely, Mohd Shakib Sr. Technical Recruiter Direct: 781-896-2153 Address: 1500 District Avenue, Ste. 4135, Burlington, MA 01803

<h5 class="iCIMS_Header">
Data Engineer</h5>





Location : Name Linked

Remote - US




ID

2024-6256




Job Locations


US-Remote



Category

R&D - Product



Type

Regular Full-Time


































<h5 class="iCIMS_InfoMsg iCIMS_InfoField_Job">



Overview


</h5>






Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time At Groups, Data Engineer will work closely with other data engineers, analysts, and software developers. As a Data Engineer focusing on dbt development in Snowflake, you will play a pivotal role in supporting care delivery and operations by transforming raw data into meaningful, business-ready datasets. This role requires strong experience with SQL query writing, data modeling, dbt, and Snowflake.









<h5 class="iCIMS_InfoMsg iCIMS_InfoField_Job">



Responsibilities


</h5>






<ul> Design, develop, and maintain scalable and optimized data models in dbt and Snowflake. <li>Collaborate with business stakeholders, data analysts, and data scientists to understand data requirements and ensure robust data models that meet business needs. </li><li>Implement and maintain dbt best practices, including version control, testing, and documentation to ensure quality and reliability in data pipelines. </li><li>Optimize Snowflake queries, storage, and performance to ensure efficient data processing and retrieval. </li><li>Continuously monitor and improve the performance of data pipelines and the overall health of the data infrastructure. </li><li>Work with cross-functional teams to resolve data quality issues, implement data governance practices, and ensure data consistency and accuracy. </li><li>Maintain clear and organized documentation for dbt models, transformations, and data workflows. </li></ul>









<h5 class="iCIMS_InfoMsg iCIMS_InfoField_Job">



Qualifications


</h5>






Knowledge, Skills and Abilities: <ul> <li>Expertise with SQL and data modeling. </li><li>Experience and appreciation for robust validation and documentation. </li><li>Strong communication skills to collaborate with technical and non-technical stakeholders. </li><li>Ability to explain complex technical concepts in simple terms. </li><li>A passion for data and its potential to drive business value. </li><li>Ability to work in a fast-paced environment and adapt to evolving business needs. </li><li>Ability to understand and adhere to the Professional Code of Conduct. </li></ul> Qualifications & Requirements: Required: <ul> <li>3+ years of experience in data engineering, with a focus on building data pipelines and data transformations. </li><li>Demonstrated proficiency with dbt, including experience in creating, maintaining, and optimizing dbt models. </li><li>Expertise in Snowflake data warehouse development, including schema design, query optimization, and storage management. </li><li>Strong knowledge of SQL and experience working with large datasets. </li><li>Strong problem-solving skills and attention to detail, with the ability to work independently and as part of a team. </li></ul> Preferred: <ul> <li>Experience with Python or other programming languages used in data engineering. </li><li>Familiarity with data governance frameworks and tools. </li><li>Experience with data visualization tools like Looker, Tableau, or Power BI is a plus. </li><li>Knowledge of other cloud platforms like AWS or Azure. </li></ul>














<h5 class="iCIMS_SubHeader iCIMS_SubHeader_Connect">
Connect With Us!
</h5>



Not ready to apply? Connect with us for general consideration.

Hi Hope you are doing well. AWS Data Engineer Baltimore MD Fulltime Only fulltime, No C2C or Contract Must to have: Data warehousing, pyspark , Github, AWS data platform, Glue, EMR, RedShift, Apache Airflow (with Astronomer),Data Marts. DBT/Glue/EMR or Matillion, data engineering, data modelling, data consumption •6-8 years of experience in AWS, Apache Airflow (on Astronomer platform), Python, Pyspark, SQL •Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement. •Experience in creating data pipelines and orchestrating using Apache Airflow •Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts. •Good to have: Experience with cloud ETL and ELT in one of the tools like DBT/Glue/EMR or Matillion or any other ELT tool •Excellent communication skills to liaise with Business & IT stakeholders. •Expertise in planning execution of a project and efforts estimation. •Exposure to working in Agile ways of working. Please reply me with your updated resume and required details: Full Name: Best number to reach you: Work authorization/Visa Status: Current Location: Current Compensation: Expected Compensation: Best time to call you: Waiting for your earliest response Regards, Gaurav Sharma Sr Technical recruiter | Syntricate Technologies Inc. Direct: 781-896-2155 Email: gaurav@syntricatetechnologies.com | Web: www.syntricatetechnologies.com

Data Engineer Jobs in Burlington, MA

Gcp Data Engineer
December 9, 2024

Senior Data Engineer Engineering
December 9, 2024

Gcp Data Engineer
December 4, 2024

Data Engineer
December 3, 2024

Data Engineermlops
December 1, 2024

Gcp Data Engineer
December 1, 2024

Data Engineer Iics Gbq
November 28, 2024

Data Engineer
November 28, 2024

Aws Data Engineer
November 23, 2024

Quick filters

Top companies

Data Engineer Jobs in Burlington, MA

Gcp Data EngineerDecember 9, 2024

Senior Data Engineer EngineeringDecember 9, 2024

Gcp Data EngineerDecember 4, 2024

Data EngineerDecember 3, 2024

Data EngineermlopsDecember 1, 2024

Gcp Data EngineerDecember 1, 2024

Data Engineer Iics GbqNovember 28, 2024

Data EngineerNovember 28, 2024

Aws Data EngineerNovember 23, 2024