Senior Developer

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