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"Data Engineer"

3 months ago

Torrance, United States Siri InfoSolutions Inc Full time
Job DescriptionJob Description

Title: Data Engineer

Location: Torrance, CA (Day 1 Onsite)

Job Description:

Responsibilities
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+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift).
3+ years of experience in programming languages such as Python, Java, or Scala.
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