Description
Responsibilities and JD
: 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:
1. Design, develop, and maintain ETL/ELT pipelines using PySpark, Databricks, and Snowflake.
2. Develop batch and real-time data processing solutions for structured and semi-structured data.
3. Build and optimize Databricks notebooks, workflows, and Delta Lake solutions.
4. Design and implement Snowflake databases, schemas, views, stored procedures, tasks, and streams.
5. Develop scalable data models, data marts, and data warehouse solutions.
6. Optimize PySpark jobs, Databricks workloads, and Snowflake queries for performance and cost efficiency.
7. Implement data quality, validation, governance, and security controls.
8. Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.
9. Manage source control and CI/CD deployments using Git and Azure DevOps.
10. Troubleshoot production issues, perform root cause analysis, and ensure pipeline reliability.
11.
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 solid hands-on expertise in PySpark, Databricks, and Snowflake.
Enable Skills-Based Hiring No ECMS REQ IDAdditional Details
- ECMS REQ ID : 580371
- Project Location 1 : TELANGANA | HYDERABAD
- Project Location 2 : TN | CHENNAI
- Project Location 3 : MAH | PUNE
- Project Location 4 : CH | CHANDIGARH
- Delivery SPOC : Sanjaya Kumar Mahapatra
[email protected] Nitin Jain14
[email protected]
- Relevant Experience : 5+ years
- Mandatory skills : Pyspark/ Databricks/ Snowflake
- Desired skills : Pyspark/ Databricks/ Snowflake/Python
- Domain (Industry) : Healthcare
- BGC (Before onboarding / After onboarding) : PreOB
- Total Experience (Ex. 5-7 Years) : 6 -10 years
- BGC Details : standard, As per Infosys Policy
- BGC Vendor : As per Infosys Policy
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : As applicable
- Shift Timings : Others
📌 580371Pyspark/ Databricks/ Snowflake_DNAHL_India (Hyderabad)
🏢 Trigent Software
📍 Hyderabad