Senior Data Engineer- Databricks

Overview

Position: Senior Data Engineer- Azure Databricks

Purpose of the Position:

To design, build, and optimize scalable data pipelines and solutions using Azure Databricks and related technologies, enabling Zodiac Maritime to make faster, data-driven decisions as part of its data transformation journey.

Proficiency in data integration techniques, ETL processes and data pipeline architectures. Well versed in Data Quality rules, principles and implementation.

Location: Nagpur/ Pune/ Chennai/ Bangalore

Type of Employment: FTE

Key Result Areas and Activities:

1. Data Pipeline Development: Design and implement robust batch and streaming data pipelines using Azure Databricks and Spark.
2. Data Architecture Implementation: Apply Medallion Architecture to structure data layers (raw, enriched, curated).
3. Data Quality & Governance: Ensure data accuracy, consistency, and governance using tools like Azure Purview and Unity Catalog.
4. Performance Optimization: Optimize Spark jobs, Delta Lake tables, and SQL queries for efficiency and cost-effectiveness.
5. Collaboration & Delivery: Work closely with analysts, architects, and business teams to deliver end-to-end data solutions.

Technical Experience:

Must Have:

• 5+ years of experience with Azure Databricks, Delta Lake, Data Factory.
• Proficiency in Python, PySpark, and SQL with strong query optimization skills.
• Deep understanding of Lakehouse architecture and Medallion design patterns.
• Experience building scalable ETL/ELT pipelines and data transformations.
• Familiarity with Git, CI/CD pipelines, and Agile methodologies.

Good To Have:

• Knowledge of data quality frameworks and monitoring practices.
• Experience with Power BI or other data visualization tools.
• Understanding of IoT data pipelines and streaming technologies like Kafka/Event Hubs.
• Awareness of emerging technologies such as Knowledge Graphs.

Qualifications:

• Education: Likely a degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Proven hands-on experience with Azure data stack (Databricks, Data Factory, Delta Lake).
• Experience in building scalable ETL/ELT pipelines.
• Familiarity with data governance and DevOps practices.

Qualities:

• Strong problem-solving and analytical skills.
• Attention to detail and commitment to data quality.
• Collaborative mindset and effective communication.