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Job Description

Dear Candidate,

Greetings of the day!!


I am Amutha and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on LinkedIn https://www.linkedin.com/in/amutha-valli-32611b289/ Or Email:  amutha.m@techmango.net


Techmango Technology Services

We are a full-scale leading Software and Mobile App Development Company. Techmango is driven by the mantra “Clients Vision is our Mission”.


We have a tendency to stick on to the current statement. To be the technologically advanced & most loved organization providing prime quality and cost-efficient services with a long-term client relationship strategy. We are operational in the USA - Chicago, Atlanta, Dubai - UAE, in India - Bangalore, Chennai, Madurai, Trichy.


Role:  AWS Data Engineer

Key Skills: Data Engineer, Python, AWS services, python, SQL, ETL, pyspark

Experience: 3 to 8 Yrs

Location: Madurai

Mode : Hybrid / WFO


Job Title:  AWS Data Engineer

About the Role:

We’re looking for a seasoned AWS Data Engineer


What You Will Do:

  • Architect, build, and maintain robust and scalable data pipelines using AWS services.
  • Implement performant and reliable ETL/ELT processes that handle large volumes of structured and unstructured data.
  • Enforce and monitor data SLAs to ensure freshness, reliability, and availability of datasets across environments.
  • Collaborate with engineering, product, and analytics teams to transform business requirements into robust data models and pipelines.
  • Proactively identify and resolve bottlenecks, data quality issues, and system inefficiencies.
  • Implement schema versioning, data lineage tracking, and database change management practices.
  • Define and enforce best practices for data governance, access control, observability, and compliance.
  • Contribute to CI/CD workflows and infrastructure as code practices using tools like CloudFormation or Terraform.

What You Will Bring:

  • 4+ years of experience in data engineering or backend systems development, with a strong focus on cloud-based architectures.
  • Deep expertise in AWS data ecosystem—especially Redshift, Glue, S3, Athena, Lambda, Step Functions, and CloudWatch.
  • Strong background in SQL performance tuning, schema design, indexing, and partitioning strategies for large datasets.
  • Experience maintaining data freshness SLAs and end-to-end ownership of production pipelines.
  • Hands-on experience with Python (or PySpark), T-SQL, and scripting automation for data ingestion and transformation.
  • Solid understanding of relational and dimensional data modeling, normalization, and schema evolution.
  • Experience with source control systems (e.g., Git, Bitbucket) and CI/CD pipelines for data infrastructure.
  • Track record of transforming complex business requirements into reliable and scalable data solutions.
  • Experience with data governance, security, and compliance frameworks (e.g., HIPAA, GDPR) is a plus.
  • Familiarity with monitoring and observability tools (e.g., CloudWatch, Datadog, or Prometheus).
  • Bonus: Exposure to Snowflake or MSSQL in hybrid cloud environments.

Nice to Have:

  • AWS certifications such as AWS Certified Data Analytics, Solutions Architect, or DevOps Engineer.
  • Experience with Apache Airflow, dbt, or other data orchestration tools.
  • Familiarity with Kafka, Kinesis, or other streaming technologies.
  • Understanding of data mesh or data lakehouse architectures

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