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Senior Data Engineer

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Onsite

Senior Data Engineer

eClerx

Senior Data Engineer

Skills

Google Cloud PlatformSQL QueriesPythonKafkaSnowflakeMachine LearningAIAWSdbtApache AirflowTerraformAzure

11 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹2,500,000 / year

Location:

Navi Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Dear Candidates,

Eclerx is hiring experienced professionals for the position of Senior Data Engineer Snowflake.

Job Locations:

  • Hinjewadi Phase 2, Pune
  • Airoli, Navi Mumbai

Work Mode: Hybrid (3 days in office and 2 days working from home)

Experience Required: 7+ years of experience as a Data Engineer, with mandatory hands-on experience in Snowflake

Notice Period: Immediate joiners to candidates available by 30th November 2026

Interested candidates, please share your updated resume along with the following details:

  • Total Experience:
  • Relevant Snowflake Experience:
  • Current CTC:
  • Expected CTC:
  • Notice Period:
  • Current Location:
  • Preferred Job Location:

Looking forward to connecting with suitable candidates!

#Hiring #Eclerx #SeniorDataEngineer #Snowflake #DataEngineering #PuneJobs #NaviMumbaiJobs #ITJobs

Share Resume- [email protected]

Role & responsibilities

Strong SQL expertise and practical Python experience.

  • Strong hands-on experience with Snowflake.
  • Experience designing and developing scalable ELT/ETL pipelines.
  • Strong understanding of data modeling, data warehouses, and analytical data structures.
  • Experience implementing CDC, incremental processing, deduplication, and SCD Type 1/2 patterns.
  • Understanding of data governance, security, RBAC, and data access management.
  • Experience with at least one major cloud platform: Azure, AWS, or GCP.Engineering Practices
  • Strong Git/version-control experience.
  • Experience with CI/CD and automated deployment practices.
  • Strong understanding of data quality, testing, monitoring, and production support.
  • Experience with Snowflake performance optimization, including query tuning and workload management.

Snowflake

  • Experience with one or more Snowflake pipeline capabilities such as Dynamic Tables, Streams/Tasks, Snowpipe/Snowpipe Streaming, or Snowpark.
  • Experience with dbt or a similar transformation framework.
  • Advanced experience with Snowpark, Dynamic Tables, Streams/Tasks, Snowpipe, or Snowpipe Streaming.
  • • Experience with Apache Iceberg and modern open-table architectures.
  • • Experience with Kafka or other event-streaming technologies.
  • • Experience with Airflow, dbt Core/Cloud, Terraform, or other modern data-engineering tools.
  • AI / GenAI
  • • Experience using Snowflake Cortex or equivalent AI capabilities.
  • • Experience building data pipelines supporting ML/GenAI applications.
  • • Exposure to AI-enabled data platforms and enterprise AI workloads.

Fresher's will not be entertained at all

Regards,

Rucha Labhe

Eclerx

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