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Sr Software Engineer - Data Engineering

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Onsite

Sr Software Engineer - Data Engineering

Timecode Technologies

Sr Software Engineer - Data Engineering

Skills

SQL QueriesMongoDBData EngineeringPythonPostgreSQLAWS LambdaAmazon RedshiftJenkinsData AnalysisAIAWSGitHubOraclePySparkAWS KinesisTerraform

6 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job Title: Sr Software Engineer - Data Engineering

Experience: 6- 13 Years
Location: Hyderabad
Employment Type: Full-Time

Job Description

We are looking for an experienced Senior Software Engineer Data Engineering with strong hands-on expertise in AWS Glue, PySpark, Python, SQL, and cloud-based data engineering. The ideal candidate should have experience building scalable ETL/ELT pipelines, handling batch and streaming data, and working with multiple databases and AWS services.

Mandatory Skills:

  • Strong hands-on experience with AWS Glue and PySpark.
  • Proficiency in Python and SQL, including stored procedures.
  • Experience with Oracle, MongoDB, and DynamoDB.
  • Working knowledge of AWS ECS and Terraform.
  • Experience building batch and streaming data pipelines.
  • Knowledge of error handling, retry/replay mechanisms, and data quality validation.
  • Understanding of AI/LLMs, prompt engineering, and AI-assisted development tools such as Cursor, Claude, or Devin AI.
  • Ability to review AI-generated code and follow secure coding practices.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue and PySpark.
  • Build data integration workflows using AWS Lambda and Step Functions.
  • Develop and optimize SQL queries and stored procedures.
  • Work with relational and NoSQL databases, including Oracle, MongoDB, DynamoDB, and Aurora PostgreSQL.
  • Implement data quality checks, error handling, retry mechanisms, and data replay processes.
  • Support CI/CD automation using GitHub Actions or Jenkins.
  • Troubleshoot production issues and optimize pipeline performance.
  • Follow AWS security best practices, including IAM permissions and encryption.
  • Leverage AI-assisted development tools responsibly to improve engineering productivity.

Preferred Skills:

  • Healthcare payer domain experience.
  • Knowledge of HIPAA, HL7, FHIR, or X12.
  • Exposure to Amazon Athena, Redshift, Kinesis, or EMR.
  • AWS Data Engineer or Analytics certifications.

Interested candidates can your resume with [email protected]

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