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Lead Data Engineers
2 weeks ago
1) Lead Data Engineer – MS Fabric
Experience: 8+ years
Location: Trivandrum / Kochi
Budget: Up to 28 LPA
Notice Period: Immediate – 30 Days
Mandatory Skills: MS Fabric (6 months–2 years hands-on), Azure Stack (ADF, Data Lake, Lakehouse, Power BI)
2) Lead Data Engineer – SSIS & SQL
Experience: 6+ years
Location: Kochi / Trivandrum
Budget: 18–23 LPA
Notice Period: Immediate – 30 Days
Mandatory Skills: MS SQL, SSIS, ADF, Data Lake, Strong SQL & Database expertise, Excellent Communication
Job Purpose
We are looking for a highly motivated and experienced Lead Data Engineer with deep expertise in SSIS, SQL, and a strong ability to drive and lead data projects. The ideal candidate should have moderate experience with Azure Data Factory (ADF) and a passion for designing scalable, high-performance data solutions that support critical enterprise operations and analytics.
You will play a lead role in shaping our data infrastructure and delivering high-quality solutions in collaboration with cross-functional teams.
Key Responsibilities
- Lead the design, development, and deployment of robust data pipelines and ETL processes using SSIS, SQL Server, and Azure Data Factory (ADF).
- Drive end-to-end project execution — including planning, technical architecture, implementation, testing, and delivery.
- Develop and maintain data lakes, data marts, and data warehouse solutions, supporting both structured and semi-structured data.
- Ensure performance tuning and optimization of SQL queries, stored procedures, and ETL jobs.
- Collaborate with business stakeholders and technical teams to gather data requirements and translate them into scalable solutions.
- Mentor junior engineers and conduct code reviews to ensure adherence to best practices.
- Contribute to architectural decisions involving Lakehouse, cloud adoption, and data integration strategies.
- Implement and maintain data quality, governance, and security standards.
- Maintain accurate project documentation and communicate effectively with technical and non-technical audiences.
Skills and Competencies
Mandatory Technical Skills
:
- Advanced proficiency in Microsoft SQL Server and T-SQL (stored procedures, views, indexing, triggers)
- Expert-level experience with SSIS for ETL development
- Hands-on experience in data warehouse and data mart modeling (Star/Snowflake schemas)
- Strong understanding of DDL/DML operations and relational database design
- Solid background in query performance tuning and optimization
Moderate Experience Required
:
- Azure Data Factory (ADF) for data pipeline orchestration and cloud-based ETL
Preferred / Nice to Have
:
- Exposure to Lakehouse architecture
- Experience with Cloud platforms (Azure, AWS, or Snowflake)
- Familiarity with Data Lakes and handling large volumes of data
- Working knowledge of REST APIs, JSON, and integration patterns
To adhere to ISMS policies and procedures.