Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer with strong expertise in PySpark, Python, and Big Data technologies to design, build, and optimize scalable data platforms and pipelines.

The ideal candidate will work closely with Data Scientists, Business Analysts, and Analytics Delivery teams to develop high-performance analytics solutions and support advanced data science initiatives.

Key Responsibilities Collaborate with Analytics Delivery Leads and Lead Data Engineers to understand business requirements and deliver impactful data solutions.

Work closely with Data Scientists and cross-functional teams to solve complex business problems through data engineering solutions.

Manage data onboarding, data access, and stakeholder coordination for analytics initiatives.

Design, develop, and maintain scalable, secure, and high-performance data pipelines.

Acquire, ingest, process, and transform large-scale structured and unstructured datasets.

Implement data engineering best practices for building reliable and production-ready data platforms.

Perform data wrangling, cleansing, transformation, and feature engineering for machine learning and analytics use cases.

Design and develop modular data pipelines to generate reusable features and modeling datasets.

Build and optimize data architectures supporting advanced analytics and machine learning workloads.

Contribute to data platform design by selecting appropriate technologies across Big Data, SQL, and NoSQL ecosystems.

Ensure data quality, integrity, governance, security, and scalability across the data lifecycle.

Participate in Agile squads and collaborate effectively with stakeholders across business and technology teams.

Contribute to enterprise data architecture strategy and roadmap aligned with business objectives.