ETL Developer/Data Engineer
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Job#: 2032750
Job Description:
Senior Data Engineer (AWS)
Rate Range: $60-75/hr on W2
Hybrid in Torrance, CA (2 days onsite)
Job Description:
Daily Tasks:
Responsibilities include:
Design, develop, and maintain robust and scalable data pipelines for extracting, transforming, and loading data from various sources, including databases, and streaming platforms.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
Resolve complex data integration platform related issues. Coordinate with vendors for product related issues, patches, bug fixes and upgrades.
Implement data governance best practices to ensure data quality, consistency, and security throughout the data lifecycle.
Document data pipelines, and technical specifications to facilitate knowledge sharing and collaboration among team members.
Collaborate with appropriate stakeholders on defining and implementing technology direction/roadmap within data integration technology space.
Optimize data pipelines for performance, scalability, and reliability, using techniques such as parallel processing, caching, and error handling.
Meet with application teams to understand requirements and recommend high-level direction and approach to upcoming projects.
Administer Data Integration product platforms - including running periodic backups and performing deployments.
Participate in code reviews, agile ceremonies, and cross-functional meetings to contribute to the overall success of the team and the organization.
Position Success Criteria (Desired) - WANTS
Required Work Experience:
Bachelors degree in computer science, information technology, or a related field.
5+ years of experience in data engineering, database design, ETL processes, and data warehousing.
3+ in programming languages such as Python, Java, or Scala.
3+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift).
Strong knowledge of data storage and processing technologies, including databases (SQL and NoSQL), data lakes, and distributed computing frameworks (e.g., Hadoop, Spark).
Strong knowledge with one or more Database platforms (DB2, SQL Server, Postgres).
Solid understanding of data security, privacy, and compliance.
Excellent problem-solving and communication skills.
Ability to work collaboratively in cross-functional teams.
Attention to detail and a commitment to data quality.
Continuous learning mindset to keep up with evolving technologies and best practices in data engineering.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Job Description:
Senior Data Engineer (AWS)
Rate Range: $60-75/hr on W2
Hybrid in Torrance, CA (2 days onsite)
Job Description:
Daily Tasks:
Responsibilities include:
Design, develop, and maintain robust and scalable data pipelines for extracting, transforming, and loading data from various sources, including databases, and streaming platforms.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
Resolve complex data integration platform related issues. Coordinate with vendors for product related issues, patches, bug fixes and upgrades.
Implement data governance best practices to ensure data quality, consistency, and security throughout the data lifecycle.
Document data pipelines, and technical specifications to facilitate knowledge sharing and collaboration among team members.
Collaborate with appropriate stakeholders on defining and implementing technology direction/roadmap within data integration technology space.
Optimize data pipelines for performance, scalability, and reliability, using techniques such as parallel processing, caching, and error handling.
Meet with application teams to understand requirements and recommend high-level direction and approach to upcoming projects.
Administer Data Integration product platforms - including running periodic backups and performing deployments.
Participate in code reviews, agile ceremonies, and cross-functional meetings to contribute to the overall success of the team and the organization.
Position Success Criteria (Desired) - WANTS
Required Work Experience:
Bachelors degree in computer science, information technology, or a related field.
5+ years of experience in data engineering, database design, ETL processes, and data warehousing.
3+ in programming languages such as Python, Java, or Scala.
3+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift).
Strong knowledge of data storage and processing technologies, including databases (SQL and NoSQL), data lakes, and distributed computing frameworks (e.g., Hadoop, Spark).
Strong knowledge with one or more Database platforms (DB2, SQL Server, Postgres).
Solid understanding of data security, privacy, and compliance.
Excellent problem-solving and communication skills.
Ability to work collaboratively in cross-functional teams.
Attention to detail and a commitment to data quality.
Continuous learning mindset to keep up with evolving technologies and best practices in data engineering.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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