Senior Data Engineer Cloud & Modern Data Architectures

6 - 11 years

20 - 25 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a Senior Data Engineer with expertise in ETL/ELT, Data Engineering, Data Warehousing, Data Lakes, Data Mesh, and Data Fabric architectures. The ideal candidate should have hands-on experience in at least one or two cloud data platforms (AWS, GCP, Azure, Snowflake, or Databricks) and a strong foundation in building PoCs, mentoring freshers, and contributing to accelerators and IPs.
 

Key Responsibilities:

cloud-based data pipelines AWS, Azure, GCP, Snowflake, or Databricks data lakes, data warehouses, and scalable data platforms PoCs, MVPs, and IPs Mentor and guide
 

Required Skills Experience:

Must-Have:
  • 6-8 years of experience in Data Engineering Cloud Data Services.
  • Hands-on with AWS (Redshift, Glue), GCP (BigQuery, Dataflow), Azure (Synapse, Data Factory), Snowflake, Databricks.
  • Strong SQL, Python, or Scala skills.
  • Knowledge of Data Mesh Data Fabric principles.
Nice-to-Have:
  • Exposure to MLOps, AI integrations, and Terraform/Kubernetes for DataOps

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