Senior Data Engineer

We are looking for a Senior Data Engineer to design and manage complex, large-scale data systems. You will architect robust pipelines, ensure real-time and batch data processing, and enable reliable analytics and AI workflows. Your work will empower our teams to make data-driven decisions faster and with confidence.

Key Responsibilities :

• Architect and maintain high-performance ETL / ELT pipelines using Kafka, Spark, Airflow, or similar tools.
• Design scalable, secure data platforms on AWS (Glue, Redshift, Athena) or GCP (BigQuery, Dataflow, Pub / Sub).
• Implement real-time data ingestion using Kafka and process massive datasets efficiently.
• Manage SQL / NoSQL databases for analytics and operational use cases.
• Develop and maintain optimized data models to support BI, AI, and ML applications.
• Partner with analysts, engineers, and stakeholders to define data requirements.
• Enforce rigorous data governance, lineage tracking, and quality checks.
• Lead and guide junior engineers in building high-quality data solutions.

Required Skills & Qualifications :

How to Apply :

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position to . Or fill out the form here! .

Datum Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We turn complex data into clear insights. Our comprehensive data analytics services, from strategy to execution, drive business growth and innovation.

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