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Engineer, Data Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Skill:
Data Engineer

  • Experience with Snowflake and Snowpark.
  • Data pipeline development using Python and SQL.
  • 5 years of Data-related experience or equivalent combination of education and relevant experience.
  • 5+ years’ experience in data engineering.
Responsibilities
  • Design, develop, and maintain end-to-end data pipelines for collecting, processing, and storing large volumes of data.
  • Utilize Python and SQL for efficient and scalable data pipeline development.
  • Implement best practices for data pipeline orchestration and scheduling.
  • Manage and optimize Snowflake data warehouse, including schema design, performance tuning, and security configurations.
  • Leverage Snowflake features such as virtual warehouses, clustering, and materialized views for optimal data storage and retrieval.
  • Implement data quality checks and testing processes to ensure the accuracy and reliability of data pipelines.
  • Collaborate with cross-functional teams to validate data transformations and ensure consistency in reporting.
  • Create and maintain comprehensive documentation for data pipelines, data models, and system architecture.
  • Provide documentation for data recipes, ensuring knowledge transfer and ease of maintenance.
  • Identify and address performance bottlenecks in data pipelines and Snowflake queries.
  • Work closely with data analysts and data scientists to optimize queries for efficient data retrieval.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions to meet business needs.
  • Implement and adhere to data security and compliance standards.
  • Work with the security team to ensure that data handling practices align with organizational policies.
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