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Senior Data Engineer (Python)

Cloudesign
Full Timesenior
Tamil Nadu, INPosted 6 weeks ago

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PythonSQLAWSDockerKubernetesTerraformDynamoDBGitSparkAirflowCI/CDMicroservices

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Job Description

We are looking for an experienced Senior Data Engineer with 7+ years of expertise in designing, building, and managing large-scale data solutions on AWS. This role requires strong technical leadership, hands-on development skills, and the ability to architect robust data platforms that empower analytics, machine learning, and business intelligence across the organization.

Responsibilities

  • Lead the design and implementation of scalable data architectures (data lakes, warehouses, and streaming systems).
  • Build and optimize ETL/ELT pipelines for diverse data sources, ensuring high performance and reliability.
  • Drive data governance, security, and compliance initiatives across all data platforms.
  • Mentor junior engineers and provide technical guidance to cross-functional teams.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Implement automation and monitoring frameworks to ensure operational excellence. Evaluate and adopt emerging AWS services and modern data engineering tools to enhance capabilities.

Requirements

  • 7+ years of professional experience in data engineering, with at least 4+ years working on AWS.
  • Deep expertise in AWS services: S3 Glue, Redshift, Athena, EMR, Kinesis, DynamoDB, Lambda, and Step Functions.
  • Strong proficiency in SQL, Python, and Spark for data processing and pipeline development.
  • Proven experience with workflow orchestration tools (Airflow, Dagster, Step Functions).
  • Solid understanding of data modeling, partitioning strategies, and performance tuning.
  • Hands-on experience with CI/CD pipelines, Git, and Infrastructure-as-Code (Terraform/CloudFormation).
  • Familiarity with containerization (Docker, Kubernetes) and microservices-based architectures.
  • Experience in architecting enterprise-scale data platforms.
  • Exposure to machine learning pipelines and advanced analytics. Strong problem-solving and leadership skills, with the ability to influence technical direction.

This job was posted by Gowripriya P from Cloudesign.

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