A career in Oracle consulting will provide you with the opportunity to help organisations use enterprise technology to achieve their digital technology goals and capitalise on business opportunities. We help our clients implement and effectively use Solutions Architect, Oracle, Manager, Analytics, Data Architect, Business Analyst, Accounting

Job Description As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, store, and distribute our big data to be consumed by data scientists and our products. Our data engineers use Python, Hadoop, Databricks, PySpark, Hive, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools. Requirements •5+ years proven ability of professional Data Development experience •3+ years proven ability of developing with Hadoop/HDFS/Databricks and SQL/NoSQL (Oracle, SQL Server, Mongo) •3+ years of experience with PySpark/Spark •3+ years of experience developing with either Python, Java, or Scala •Full understanding of ETL concepts and Data Warehousing concepts •Exposure to VCS (Git, SVN) •Exposure to CI/CD pipelines •Strong understanding of Agile Principles (Scrum) •Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) Preferred Skills - Experience in the following •Experience with Azure •Exposure to NoSQL (Mongo, Cassandra) •Experience with Databricks •Exposure to Service Oriented Architecture •Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.) •Proficient with Relational Data Modeling and/or Data Mesh principles •Experience with CI/CD - Continuous Integration/Continuous Delivery Key Responsibilities •Participate in design and development of Hadoop and Cloud-based solutions •Perform unit and integration testing •Hands-on programming based on TDD, usually in a pair programming environment. •Design and develop applications for all data warehousing components, including Real-Time Data Ingestion techniques, Transformations, Aggregations, and related data quality strategy. •Design and implementation of multi-source data channels and ETL processes. •Collaborate with architecture and lead engineers to ensure consistent development practices •Provide mentoring to junior engineers •Participate in retrospective reviews •Participate in the estimation process for new work and releases •Collaborate with other engineers to solve and bring new perspectives to complex problems •Drive improvements in people, practices, and procedures •Embrace new technologies and an ever-changing environment Required Skills : Python Background Check :Yes Drug Screen :Yes Notes : Selling points for candidate : Project Verification Info : Candidate must be your W2 Employee :Yes Exclusive to Apex :No Face to face interview required :No Candidate must be local :No Candidate must be authorized to work without sponsorship ::No Interview times set : :No Type of project :Development/Engineering Master Job Title :Other Branch Code :Cincinnati

Summary: We are a full stack data science company and a wholly owned subsidiary of Company. As a member of our team you will use various cutting-edge technologies to develop applications that turn our data into actionable insights used to personalize the customer experience for shoppers at Company. We develop strategies and solutions to ingest, store, and distribute our big data. Our developers use Big Data technologies including (but not limited to) Hadoop, Pyspark, Hive, JSON, and SQL to develop products, tools and software features. Top 3 Required Skills:<ul> <li>Azure/Databricks</li> <li>Python/Pyspark</li> <li>SQL </li></ul> Responsibilities: Salvo Adoption and Implementation:<ul> <li>This role is integral to the adoption and implementation of Salvo, our internal Python framework for targeting complex personalization campaigns. </li></ul>Support Complex Personalization Campaigns:<ul> <li>Utilize Salvo to support targeting for complex personalization campaigns, ensuring precise and effective targeting strategies. </li></ul>Bridge Front-end and Backend Capabilities:<ul> <li>Work on accelerating the integration of Dart (front-end application) with Salvos backend capabilities. </li></ul>Stakeholder Partnership:<ul> <li>Work with key business stakeholders to provide support to stakeholders for their complex campaign targeting needs. </li></ul>Cross-functional Collaboration:<ul> <li>Work closely with teams managing the Dart capability roadmap to ensure alignment and synchronization of efforts. </li></ul> Skillset Requirements:<ul> <li>4+ years proven ability of professional Data Development experience</li> <li>3+ years proven ability of developing with Databricks or Hadoop/HDFS</li> <li>3+ years of experience with PySpark/Spark</li> <li>3+ years of experience with SQL</li> <li>Bachelors Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)</li> <li>Experience with CI/CD is a plus </li></ul> Compensation: The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate's qualifications, skills, competencies, competencies, competencies, competencies, experience, location and end client requirements). Benefits and Ancillaries: Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.

Description Required skills/proficiency: Pyspark, Strong communication skills, Able to hit the ground running after knowledge transfer Must have strong Pyspark and Azure experience, Databricks notebook highly preferred What you'll do: As a Senior Data Engineer, you are part of the software development team. We develop strategies and solutions to ingest, store, and distribute our big data. Our developers use Big Data technologies including (but not limited to) Hadoop, PySpark, Hive, JSON, and SQL to develop products, tools and software features. Minimum Skills Required: 5+ years of experience as a Data Engineer, with a focus on PySpark and big data technologies. Strong proficiency in Python and experience with PySpark for building and optimizing data pipelines. Proficiency in SQL for querying and manipulating large datasets. Experience with cloud platforms like AWS, Azure, or GCP, including services such as EMR, Databricks, or BigQuery. Strong problem-solving skills and the ability to work with complex datasets. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement Mentor team members in data principles, patterns, processes and practices Promote the reuse of data assets, including the management of the data catalog for reference Draft and review architectural diagrams, interface specifications and other design documents Proactively and holistically lead activities that create deliverables to guide the direction, development, and delivery of technological responses to targeted business outcomes. Provide facilitation, analysis, and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise. Develop target-state guidance (i.e., reusable standards, design patterns, guidelines, individual parts and configurations) to evolve the technical infrastructure related to data and information across the enterprise, including direct collaboration Education: Bachelors Degree

Data Engineer General Electric Credit Union is a not-for-profit, member-owned full service financial institution headquartered in Cincinnati with branches in Ohio and Kentucky. At GECU, we pride ourselves on maintaining quality service, being an employee-friendly workplace, and developing our team members while teaching you the skills to lead you to career advancement opportunities. Overview: As a Data Engineer, you will play a key role in developing and optimizing our data infrastructure to support the organization's data-driven initiatives. You will be designing, building, and maintaining scalable data pipelines and systems. Essential Responsibilities: <ul> <li>Design, implement, and maintain robust, scalable, and high-performance data pipelines and ETL processes to collect, process, and store large volumes of structured and unstructured data.</li> <li>Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.</li> <li>Develop and maintain data warehouse and data lake solutions, ensuring data quality, integrity, and reliability.</li> <li>Optimize data pipelines and ETL processes for performance, efficiency, and cost-effectiveness, utilizing best practices and technologies.</li> <li>Implement data governance and security measures to ensure compliance with regulatory requirements and data privacy standards.</li> <li>Troubleshoot and resolve issues related to data processing, data quality, and system performance in a timely manner.</li> <li>Evaluate and recommend new technologies, tools, and frameworks to enhance the organization's data infrastructure and capabilities.</li> <li>Document technical specifications, data lineage, and system architecture to facilitate knowledge sharing and collaboration.</li> <li>Stay up to date with industry trends and emerging technologies in data engineering and analytics. </li></ul>Education and Experience: <ul> <li>Bachelor's degree in Computer Science, Engineering, or related field; Master's degree is a plus.</li> <li>3-5 years of experience working with data warehousing concepts, database technologies (e.g., SQL, NoSQL), and distributed computing architectures.</li> <li>Experience with Snowflake Data Warehouse preferred </li></ul>Knowledge, Skills, and Abilities: <ul> <li>Strong attention to detail</li> <li>Knowledge of Scripting Languages</li> <li>Strong programming skills in languages such as Python, Java, Scala, or SQL, with experience in data manipulation, transformation, and analysis.</li> <li>Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.</li> <li>Thorough knowledge of data modeling, schema design, and optimization techniques for relational and non-relational databases.</li> <li>Excellent problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex technical issues.</li> <li>Strong communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. </li></ul>At GECU, we want to support your wellbeing by offering a wide range of benefits: <ul> <li>Health, Dental and Vision insurance</li> <li>Life and Disability insurance options</li> <li>Paid Time Off starts accruing once hired and take your birthday off - paid</li> <li>401k Retirement plan with up to a 10% match of your base gross compensation</li> <li>Tuition reimbursement opportunities & professional development </li> <li>Volunteer opportunities -and earn additional PTO hours!</li> <li>On-site clinics for Vaccines and Mammograms </li> </ul> And many more! Come join GECU as we are a curated culture of respect, understanding, and mutual recognition. We believe forming bonds and connecting with each other only stands to strengthen the service we provide to our members in our mission of improving the Quality of Financial lives! General Electric Credit Union is an Equal Opportunity Employer

Data Engineer Jobs in Union, KY

Solutions Architect Oracle Data Analytics Manager
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Senior Data Engineer
September 1, 2024

Data Engineer
August 31, 2024

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Data Engineer Jobs in Union, KY

Solutions Architect Oracle Data Analytics ManagerSeptember 6, 2024

Data Engineer Level IiSeptember 2, 2024

Data Engineer Level 2September 2, 2024

Senior Data EngineerSeptember 1, 2024

Data EngineerAugust 31, 2024