Senior Data Engineer

Job Description: Senior Data Engineer

Position: Senior Data Engineer
Experience: 8-13 Years
Location: Bangalore
Employment Type: Full-Time

Must have experience in Capital Market, Investment banking domain.

ONLY IMMEDIATE JOINERS (0-15 DAYS)

Summary:

We are looking for a highly skilled Senior Data Engineer with 8-10 years of experience in SQL, Python, Pyspark and Databricks. The ideal candidate will design and optimize data pipelines, develop data infrastructure, and drive data integration projects to support business objectives.

Key Responsibilities:

• Design, build, and maintain robust data pipelines using ADF and SSIS.
• Ensure seamless data integration from multiple sources to the data warehouse.
• Develop and maintain scalable data models and data warehouse architectures.
• Optimize database performance and data storage processes.
• Develop and maintain reports and dashboards using SSRS and other visualization tools.
• Ensure data quality and accuracy in all reporting solutions.
• Work with Databricks to design and manage big data solutions and advanced analytics.
• Leverage cloud infrastructure for scalable data processing and storage.
• Work with data scientists, analysts, and business teams to understand data requirements.
• Document data engineering processes and ensure adherence to data governance policies.

Required Skills & Qualifications:

• 8-10 years of experience with SQL, ADF, SSIS, SSRS, and Databricks.
• Strong experience in data pipeline development and optimization.
• Knowledge of data modeling, ETL processes, and data warehouse design.
• Experience with cloud platforms (Azure preferred).

Preferred Skills:

• Familiarity with programming languages such as Python.

Education:

• Bachelors in Computer Science, Data Engineering, or related field.