Senior Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Recro Full time
Key Responsibilities
• Design and implement cloud-native Data Lakes and Lakehouse optimized for AI/MLworkloads and real-time analytics.
• Develop real-time and event-driven data pipelines using Py Spark, Python and cloud services(Azure, AWS, or GCP).
• Enable decentralized data ownership and domain-driven design as part of Data Meshinitiatives.
• Implement Data Fabric across hybrid/multi-cloud environments ensuring seamless dataintegration and access.
• Drive Master Data Management (MDM) and data harmonization to build trusted, consistentdatasets.
• Embed security, observability, data lineage and governance into the data ecosystem.

Required Skills & Experience
• 3–5 years of experience in data engineering roles.
• Strong proficiency in Py Spark, Python and cloud-native data services.
• Familiarity with Data Mesh, Data Fabric, MDM and real-time streaming (Kafka, Spark Streaming, etc.).
• Experience with orchestration tools like Apache Airflow, Azure Data Factory or similar.
• Knowledge of data governance frameworks and observability tools.

What We Look for (Values & Behaviours)
• Data-Driven Mindset - Passion for enabling AI-ready data ecosystems.
• Problem Solving - Ability to optimize data architectures for scalability, cost-efficiency and AIperformance.
• Collaboration & Agility - Experience working in cross-functional AI/ML teams in dynamicenvironments.
• Strategic Thinking - Ability to align data engineering solutions with enterprise AI goals.
• Continuous Learning - Staying ahead of emerging data technologies and AI-drivenarchitectures.

Why Join Us?
• Work on cutting-edge AI data platforms and enterprise-scale AI pipeline
• Be part of a high-Caliber AI & Data Engineering team solving complex businesschallenges.
• Exposure to global enterprises and AI-driven decision-making.
• Competitive compensation and fast-track career growth in AI.
• Get mentored by best-in-class AI leaders who will help shape you into a top AI professional

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