:

Role: Data Engineer

Exp:6-10yrs

Mode of work: Hybrid(2-3 Days)

Interview Mode: Virtual(L1 Internal,L2-F2F)

Location:Hyderabad/Mindspace

About the Role:

We are seeking an experienced Data Engineering Lead to design, develop, and lead enterprise-scale data integration, migration, and analytics initiatives. The ideal candidate will have strong expertise in

Microsoft Fabric , SSIS , ETL development , Data Engineering , and Data Migration , along with hands-on experience in

Python/PySpark . The candidate will be responsible for driving data platform modernization efforts, mentoring team members, and ensuring the delivery of high-quality, scalable data solutions.

Key Responsibilities

- Lead the design, development, and implementation of end-to-end data engineering solutions.
- Develop and maintain scalable ETL/ELT pipelines using SSIS, Microsoft Fabric, PySpark, and Python.
- Drive data migration initiatives from legacy systems to modern cloud-based data platforms.
- Design and implement data ingestion, transformation, cleansing, and validation processes.
- Build and optimize data warehouses, data marts, and lakehouse architectures.
- Collaborate with business stakeholders, architects, and cross-functional teams to understand data requirements and translate them into technical solutions.
- Ensure data quality, reliability, security, and governance standards are met.




- Monitor and optimize data pipeline performance, scalability, and cost efficiency.
- Lead code reviews, technical design discussions, and best practice adoption across the team.
- Provide technical guidance and mentoring to junior and mid-level data engineers.
- Participate in effort estimation, sprint planning, and release management activities.

Mandatory Skills:

- Solid experience in Data Engineering with 6-8 years of overall IT experience.
- Hands-on expertise in Microsoft Fabric and Fabric Data Engineering components.
- Strong exposure to SSIS (SQL Server Integration Services), SSAS (SQL Server Analytical Services) .
- Extensive experience in designing and developing ETL/ELT pipelines .
- Experience in large-scale Data Migration projects.
- Proficiency in Python and PySpark for data processing and transformation.
- Familiarity with CI/CD pipelines using Azure DevOps.
- Experience in cloud migration and modernization projects.
- Familiarity with Git-based source control and branching strategies.
- Strong SQL skills with experience in performance tuning and query optimization.
- Experience working with large datasets and complex data transformation frameworks.
- Understanding of data warehousing concepts, dimensional modeling, and data architecture principles.

📌 Data Engineer (Hyderabad)
🏢 Brace Infotech Private
📍 Hyderabad