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Job Description

Responsibilities And JD

Job Description: We are looking for a Senior Developer with strong expertise in PySpark, Databricks, and Snowflake to build scalable data engineering solutions and enterprise data platforms.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
  • Develop batch and real-time data processing solutions for structured and semi-structured data.
  • Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
  • Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
  • Develop scalable data models, data marts, and data warehouse solutions.
  • Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
  • Implement data quality, validation, governance, and security controls.
  • Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
  • Manage source control and CI/CD deployments using Git and Azure DevOps.
  • Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
  • Mentor junior team members and participate in code reviews and technical design discussions.

Required Skills: PySpark, Databricks, Snowflake, Python, SQL.

Experience: 5+ years of Data Engineering experience with strong hands-on expertise in PySpark, Databricks, and Snowflake.

Skills:- PySpark, databricks, Snowflake, ETL, ELT, CI/CD, Azure Devops, Python and SQL

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