Senior Data Engineering Role in Hybrid Setting

Spearhead data solutions as a Senior Data Engineer with a focus on Python and Spark. Build innovative data pipelines that fuel analytics and reporting for strategic decision-making.
Holding 4 to 7 years of data engineering experience, you will be integral in designing scalable infrastructures that meet business demands. The role includes developing ETL processes, automating data handling, and collaborating across multiple teams to create effective data-driven strategies. Engage in complex data analysis to enhance data utilization and visibility.
Key Responsibilities:
• Architect high-performance data and analytics platforms
• Drive the optimization of data pipelines
• Collaborate to gather requirements for solutions
• Automate cloud infrastructure for efficiency
• Deliver impactful dashboards and analytic reports
Requirements:
• 4–7 years of relevant experience in data engineering
• Proficiency in Spark, SQL, and data modeling
• Knowledge of data wareho...