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Big Data Developer

4 months ago

Torrance, United States Tentek Full time

Role: Big Data Developer

Work Location: Torrance, CA

Work Type: Hybrid 1-2 days on-site

Duration: 24+ months

Contract Type: W2 only

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.

Required Work Experience:

  • Bachelor's 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.