Sr. Data Engineer

We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable and high-performance data pipelines that support analytics and machine learning initiatives. The role involves close collaboration with cross-functional teams to ensure data availability, quality, and reliability across modern cloud and data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for batch and real-time processing.

• Build and optimize data ingestion, transformation, and processing workflows using modern data engineering frameworks.

• Develop and maintain RESTful web services and APIs for data integration and consumption.

• Implement and manage streaming data solutions using platforms such as Kafka.

• Ensure data quality, consistency, reliability, and performance across multiple data systems.

• Collaborate with analytics, data science, and engineering teams to support data-driven use cases.

• Troubleshoot and resolve data pipeline, performance, and scalability issues.

• Contribute to architecture decisions, coding standards, and data engineering best practices.

• 8+ years of experience in data engineering or related roles.

• Strong programming experience in Java and Apache Spark.

• Hands-on experience with RESTful Web Services and API development.

• Experience with Kafka or other streaming and messaging platforms.

• Solid understanding of data engineering principles, including ETL/ELT and real-time processing.

• Strong SQL skills for data validation, transformation, and analysis.

• Experience working with cloud platforms such as AWS or Azure.

Preferred Skills

• Experience with Snowflake or other modern cloud data warehouses.

• Proficiency in Python