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Senior / Lead Databricks
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Pune
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About Us
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We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.
Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.
Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.
At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity
How We Work?
Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.
We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.
Job Description
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Location: Pune / Remote
About the Role
We are seeking an experienced Tech Lead with strong Databricks expertise to drive the implementation of Lakehouse architecture and scalable ELT pipelines.
The role involves close collaboration with architects and stakeholders to deliver secure, high-performance data solutions for banking and financial services use cases.
Experience
5 to 10 years of overall experience in Data Engineering
3 to 4 years of hands-on experience in Databricks
Key Responsibilities
Develop and manage ELT pipelines using Databricks and implement Medallion Architecture (Bronze, Silver, Gold layers)
Optimize PySpark jobs for performance, scalability, and cost efficiency
Implement orchestration and CI/CD pipelines for data workflows
Collaborate with architects and business stakeholders to translate requirements into technical solutions
Enforce data governance practices including RBAC, data masking, and compliance standards
Mentor team members and ensure adherence to coding best practices
Required Skills
Strong hands-on experience with Databricks, Apache Spark (SQL, Python), Delta Lake, and Unity Catalog
Experience with ELT pipelines, Databricks Workflows, and Azure Data Factory (ADF)
Hands-on experience with cloud platforms (Azure preferred)
Familiarity with streaming technologies such as Kafka or Azure Event Hubs
Preferred Certifications
Databricks Associate or Professional Certification
Microsoft Azure DP-203
