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Translab Technologies - AWS Data Engineer - Python/SQL/ETL
Translab Technologies - AWS Data Engineer - Python/SQL/ETLTranslab • Mumbai
Translab Technologies - AWS Data Engineer - Python / SQL / ETL

Translab Technologies - AWS Data Engineer - Python / SQL / ETL

Translab • Mumbai
5 days ago
Job description

Description :

Job Title : AWS Data Engineer.

Location : Mumbai.

Experience Required : 2 to 3 Years.

Role Overview :

We are looking for a highly skilled AWS Data Engineer to join our team. The ideal candidate should have a solid background in SQL, Python, PySpark, and AWS.

In this role, you will be responsible for designing and developing ETL pipelines and performing data migrations using AWS DMS and other services such as S3, Lambda, Glue, Step Functions, CloudWatch, and SNS.

Key Responsibilities :

  • Implement data migration workflows from Oracle to AWS S3 using AWS DMS.
  • Design, develop, and maintain data ingestion and transformation pipelines using Glue, Lambda, and Step Functions.
  • Develop serverless solutions leveraging AWS Lambda for scheduling, automation, and event-driven processing.
  • Manage data storage using Amazon S3, including lifecycle policies, versioning, and partitioning.
  • Orchestrate workflows using AWS Step Functions for seamless service integration.
  • Monitor and optimize pipeline performance using AWS CloudWatch, including alerts and logging.
  • Handle structured and semi-structured data formats such as Parquet, Delta, Avro, JSON, and CSV.
  • Work with partitioning strategies on Parquet and Delta formats.
  • Collaborate with Data Architects and Analysts on data models and schema strategies using AWS Glue Data Catalog.
  • Ensure data quality, security, and compliance across pipelines.
  • Optimize data ingestion and transformation for performance and cost efficiency.

Required Skills & Qualifications :

  • Bachelors degree in Computer Science, IT, or related field.
  • Strong experience with AWS data services S3, Glue, Lambda, Step Functions, DMS, CloudWatch, SNS, etc.
  • Hands-on experience with Python / PySpark for data transformation.
  • Solid understanding of data warehousing concepts and ETL / ELT processes.
  • Proficiency in SQL (Amazon Redshift, PostgreSQL, Oracle, or similar).
  • Experience building event-driven and serverless architectures.
  • Familiarity with data lake and data catalog implementations (Glue Data Catalog).
  • Experience in performance tuning and parallel processing on AWS.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and team collaboration skills.
  • Ability to work effectively in a fast-paced and dynamic environment.
  • (ref : hirist.tech)

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