Senior Data Engineer

Edgematics Consulting; Pune District; Hybrid; INR 2.000.000 - 4.000.000; Vollzeit

Zusammenfassung

Edgematics Consulting in Pune, Maharashtra, is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data processing solutions. You will apply strong SQL, ETL/ELT development, and cloud-based data platforms to deliver reliable data assets.

Responsibilities include developing ETL workflows, working with data lakes and warehouses, improving data quality, and collaborating with architects and analysts to optimize performance.

Qualifikationen

• Experience building scalable data pipelines in enterprise environments.
• Strong SQL skills and data engineering fundamentals.
• Hands-on ETL/ELT development and data integration.
• Experience with data warehousing, modelling, and cloud platforms.
• Proficiency in Python or PySpark.
• Ability to troubleshoot and improve data quality and pipeline performance.

Aufgaben

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT workflows for data integration.
• Develop data transformation and processing solutions.
• Work with cloud data platforms, data lakes, and data warehouses.
• Improve data quality, reliability, and pipeline performance.
• Troubleshoot data processing issues and implement solutions.
• Collaborate with architects, analysts, and other engineering teams.

Kenntnisse

SQL & Data Engineering

ETL/ELT Tools & Data Integration

Data Warehousing & Modelling

Cloud Platforms (Azure/AWS)

Python or PySpark

Data Pipeline Development

Data Quality & Troubleshooting

Tools

Azure

AWS

Jobbeschreibung

Job Title: Senior Data Engineer
Location: Pune, Maharashtra
Experience: 810 Years
Number of Openings: 1

Job Summary

We are looking for experienced Senior Data Engineers to design, build, and maintain scalable data pipelines and data processing solutions. The candidate should have strong expertise in data engineering, ETL/ELT development, SQL, and cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT workflows for data integration.
• Develop data transformation and processing solutions.
• Work with cloud data platforms, data lakes, and data warehouses.
• Improve data quality, reliability, and pipeline performance.
• Troubleshoot data processing issues and implement solutions.
• Collaborate with architects, analysts, and other engineering teams.

Required Skills

• Strong SQL and Data Engineering
• ETL/ELT Tools and Data Integration
• Data Warehousing and Data Modelling
• Cloud Platforms such as Azure or AWS
• Python or PySpark
• Data Pipeline Development and Optimization
• Data Quality and Troubleshooting

Preferred Candidate

Candidates with strong hands-on experience in building and optimizing enterprise-scale data pipelines.