Azure Data Engineer | ADF, Python, SQL, Databricks | Immediate Joiners ONLY | Kolkata

Hiring for: A niche data, AI and analytics consulting company helping mid-large global organizations in their transformation journeys.

Role: Azure Data Engineer

Positions: 2

Experience: 2 to 8 years

Location(s): Kolkata

Type: On-site, Hybrid / Permanent

Salary: Up to INR 20 LPA

Notice Period: 15 days

Responsibilities: • Designing, building, and maintaining scalable data pipelines and workflows. • Developing and optimizing data ingestion, transformation, and integration processes. • Working with Azure Data Factory and related technologies to build and orchestrate data workflows. • Ensuring data quality and integrity through robust validation and monitoring systems. • Supporting data modeling efforts, including relational and dimensional modeling. • Building reporting and monitoring solutions to ensure efficient and accurate data operations. • Processing, logging, and correlating data from multiple sources to support business needs.

Requirements: • Bachelor’s degree in Computer Science, Engineering, or a related field. • Proficiency in SQL and relational database design. • Strong scripting skills for data/file manipulation (e.g., Python or similar languages). • Experience with Azure Data Factory, SQL Server, or similar tools for data integration and transformation. • Hands-on experience with scalable data systems, including batch and real-time processing. • Strong understanding of ETL pipelines, data modeling, and Business Intelligence systems. • Solid knowledge of event processing and workflow orchestration. • Ability to write high-quality, maintainable code and follow best practices in software engineering. • Excellent problem-solving and debugging skills. • A team player with strong communication skills and a drive for results.

Nice to Have: • Experience with cloud platforms, particularly Azure or AWS. • Advanced knowledge of SQL and relational database performance optimization. • Familiarity with tools like Azure Data Lake, Power BI, or similar analytics platforms.