Description
Role Overview
We are seeking a skilled and motivated Data Engineer to design, develop, and maintain scalable data pipelines and data solutions. The ideal candidate will work closely with business stakeholders, data analysts, data scientists, and application teams to enable productive data ingestion, transformation, storage, and reporting.

Responsibilities
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Develop and optimize data integration solutions from various structured and unstructured data sources.
- Build and manage data warehouses, data lakes, and data marts.
- Ensure data quality, integrity, security, and governance across platforms.
- Create and maintain data models that support business reporting and analytics.
- Optimize data processing performance and troubleshoot issues in production environments.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Implement monitoring, logging, and alerting mechanisms for data pipelines.




- Support cloud-based data platforms and migration initiatives.
- Maintain documentation for data architecture, workflows, and processes.

Qualifications
Required Skills
- Strong proficiency in SQL and database concepts.
- Experience with ETL/ELT tools and data integration frameworks.
- Hands-on experience in Python, PySpark, Scala, or Java.
- Experience with Apache Spark, Hadoop, Kafka, or similar big data technologies.
- Knowledge of Azure Data Factory (ADF), Azure Databricks, Azure Synapse, or equivalent cloud data platforms.
- Experience with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
- Understanding of Data Warehouse concepts and dimensional modeling.
- Familiarity with CI/CD pipelines and version control tools like Git.
- Strong analytical and problem-solving skills.

Preferred Skills
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of data governance, data quality, an

📌 Data engineer (India)
🏢 Zensar Technologies
📍 India