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Teamlease Digital Private Limited

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Data Engineer / Cloud Data Architect

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Summary

Designs and implements scalable AWS-based data platforms, pipelines and analytics architectures, leading data migration and modernization initiatives using Databricks, Informatica IDMC and PySpark. Core stack: AWS (S3, Glue, Redshift, EMR, Athena), Databricks, PySpark, SQL/Python, Terraform and CI/CD.

Job Summary

We are looking for an experienced Data Engineer / Cloud Data Architect with strong expertise in AWS cloud data platforms, Databricks, IDMC/Informatica and PySpark . The candidate will be responsible for designing and implementing scalable cloud-based data solutions, data pipelines, migration/modernization initiatives, and analytics architectures.

Key Responsibilities

  • Design and maintain data architecture, roadmaps, blueprints, and reference architectures .
  • Develop scalable AWS-based data analytics and data engineering solutions .
  • Lead data migration and modernization initiatives using AWS, Databricks and IDMC.
  • Design and optimize ETL/ELT pipelines, data lakes, data warehouses and data integration solutions .
  • Work with business and technical stakeholders to translate requirements into scalable data solutions.
  • Develop and optimize data pipelines using PySpark/Spark, Databricks and AWS-native services .
  • Implement automation, CI/CD and Infrastructure-as-Code practices for cloud data environments.
  • Ensure adherence to security, governance, compliance and data management standards .
  • Collaborate with Data Engineering, DevOps and other technology teams on solution delivery.
  • Support vendor and stakeholder management for data and cloud initiatives.

Must-Have Skills

  • 5–10 years of experience in Data Engineering, Data Warehousing, Big Data or Cloud Data solutions.
  • Strong hands-on experience with AWS cloud services such as S3, Glue, Redshift, Lambda, Athena, EMR or Kinesis.
  • Strong PySpark / Spark experience.
  • Hands-on experience with Databricks and/or Informatica IDMC .
  • Strong understanding of data lakes, data warehouses, ETL/ELT and data modelling .
  • Good knowledge of SQL and Python .
  • Experience with data migration, modernization and cloud-based analytics solutions.
  • Good understanding of CI/CD, Terraform/CloudFormation, IAM and cloud security .
  • Strong stakeholder management and communication skills.

Good-to-Have Skills

  • Tableau / Power BI
  • Informatica
  • Oracle / SQL Server / MySQL / Teradata
  • Delta Lake / MLflow
  • AWS Glue / Redshift / EMR
  • Event-driven architecture and microservices
  • Healthcare data governance and compliance
  • Tech Manager / Cloud Data Architect experience

Preferred Certifications

  • AWS Certified Solutions Architect – Associate/Professional
  • Databricks Certified Data Engineer
  • Informatica IDMC Certification

Education

Bachelor's/Master's degree in Computer Science, Information Technology, Computer Engineering , or a related field.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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