Job Description

Pune About Us


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.


Experience - 8+yrs
Location - Pune

• Must have 7+ years of hands-on experience in Azure Cloud development (ADF + Data Bricks)
• Strong in Azure SQL and good to have knowledge of Synapse / Analytics Experience in working on Agile Projects and familiar with Scrum/SAFe ceremonies
• Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Spark, PySpark
• Experience handling Structured and unstructured datasets
• Experience in Data Modelling and Advanced SQL techniques
• Experience implementing Azure Data Factory Pipelines using the latest technologies and techniques.
• Good exposure in Application Development.
• The candidate should work independently with minimal supervision