Responsibilities and JD

Job Description: We are looking for a Senior Developer with solid 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 robust hands-on expertise in PySpark, Databricks, and Snowflake.

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

📌 Senior Developer Hyderabad (India)
🏢 Envisioned Strategy and Consulting
📍 India