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Azure Data Engineer
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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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We are seeking a skilled Data Engineer with strong expertise in Azure Synapse Analytics and working knowledge of Databricks to design, develop, and maintain scalable data engineering solutions. The ideal candidate will be responsible for building robust ETL/ELT pipelines, implementing incremental data processing, optimizing data warehouse performance, and supporting cloud-based analytics platforms. Experience with Databricks will be an added advantage for modernizing and extending data platforms.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse Analytics, Azure Data Factory, and SQL.
Develop and optimize data ingestion frameworks supporting both batch and incremental processing.
Implement incremental loading using watermarking, Change Data Capture (CDC), Change Tracking, or timestamp-based approaches.
Build and maintain enterprise data warehouse solutions using Azure Synapse Dedicated SQL Pools.
Optimize SQL queries, indexing, partitioning, and table distribution for improved performance.
Perform cost optimization and DWU right-sizing to balance performance and operational costs.
Develop and maintain data models supporting reporting, analytics, and downstream applications.
Work with Azure Data Lake Storage (ADLS Gen2) for data storage and management.
Develop and support data processing workloads in Databricks using Spark/PySpark as required.
Monitor pipeline execution, troubleshoot failures, and ensure reliable data delivery.
Implement CI/CD pipelines using Azure DevOps and Git.
Collaborate with architects, business analysts, and BI developers to deliver high-quality data solutions.
Ensure data quality, governance, security, and compliance standards are met.
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Job Requirement
Strong hands-on experience with Azure Synapse Analytics (Dedicated SQL Pool, Serverless SQL Pool).
Experience developing ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines.
Strong SQL programming and query optimization skills.
Experience implementing incremental data processing, CDC, watermark-based ingestion, and metadata-driven pipelines.
Good understanding of data warehousing concepts, dimensional modeling (Star/Snowflake), and performance tuning.
Experience with Azure Data Lake Storage (ADLS Gen2).
Working knowledge of Databricks, Spark, and PySpark.
Experience with Azure DevOps, Git, and CI/CD.
Strong analytical and troubleshooting skills.
