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Job Closed

Data Platform Software Engineer- Min 3 Yrs

  • Source: Indeed
  • Stellaspire
  • On-site
  • Full-Time
  • Mid level

Job Description

OLE OVERVIEW :

We are looking for a Data Platform Lead to own the design, build, and governance of our enterprise data platform. This is a role within the Data COE, responsible for driving platform maturity across a federated, multi-cloud environment. You will set engineering standards, eliminate data duplication and drift across domains, and enable reliable, governed data access - without creating centralisation bottlenecks.

KEY RESPONSIBILITIES :

  • Design and evolve the enterprise data platform spanning Snowflake and Databricks across Azure and AWS

  • Build and maintain production-grade ELT/ETL pipelines using Spark, dbt, Airflow, and Kafka

  • Define and enforce platform standards for ingestion, transformation, storage, and access across federated domain teams

  • Drive data quality, data contract adoption, and lineage visibility across the estate

  • Own cloud storage architecture across S3 and ADLS; lead CI/CD practices for all platform assets

  • Lead containerized workload deployment using Kubernetes for data platform services

  • Coordinate with domain teams to align on standards; represent platform engineering in architecture forums

  • Mentor mid-level engineers and conduct technical design reviews for platform-impacting changes

MUST-HAVE SKILLS :

  • Snowflake - expert-level : data modelling, performance tuning, role-based access, zero-copy sharing, dynamic data masking

  • Databricks - production experience : Delta Lake, Unity Catalog, cluster management, Databricks Workflows

  • Python and SQL - strong proficiency; Scala advantageous

  • Apache Spark - distributed data processing at scale

  • Apache Kafka - real-time event streaming, pipeline design, topic management

  • Apache Airflow - pipeline orchestration, DAG design, dependency management

  • DBT - transformation layer modelling, testing, documentation

  • Cloud storage - S3 and ADLS; familiarity with Parquet, Delta, and partitioning strategies

  • Kubernetes - container orchestration for data platform services

  • CI/CD - GitHub Actions or equivalent for data platform assets (pipelines, schemas, infra)

Pay: ₹1,500,000.00 per year

Work Location: In person

Skills

  • Snowflake
  • azure-databricks
  • databricks
  • microsoft-azure
  • amazon-web-services
  • Spark
  • dbt
  • Airflow
  • apache-airflow
  • Kafka
  • Kubernetes
  • delta-lake
  • unity-3d
  • Python
  • Scala
  • Github
  • github-actions
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