Genpact Hiring For Python developers @ Headstrong

Job Description

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. What Youll Do:

• Design and build scalable data processing frameworks that support both streaming and batch workloads, aligning with our metadata-driven architecture.
• Work on big data using PySpark and SQL, optimizing data pipelines and contributing to the development of our modern Data Lakehouse built on the medallion architecture.
• Collaborate with cross-functional teams to create seamless ETL/ELT processes and drive performance optimization using techniques like Delta optimization, Z-ordering, and liquid clustering.
• Take ownership of building efficient and scalable solutions leveraging the latest trends in Databricks, including Structured Streaming, Delta Live Tables, Unity Catalog, and DBSQL.
• Optimize workloads and ensure efficient processing on the Azure Data Platform using tools like Azure Data Factory (ADF) and Azure Synapse Analytics.
• Contribute to continuous improvement in performance and scalability, pushing the boundaries of whats possible with Apache Spark and Databricks.
• Integrate Azure data and integration components into comprehensive data solutions to meet business needs.
• Collaborate using Git, working in a fast-paced, agile environment, and continuously refining our common code base.

What Were Looking For:

• Experience: 5+ years in data/software engineering roles, with hands-on experience in building and maintaining data frameworks for large-scale data processing.
• Technical Mastery: Expertise in Python (especially with OOP and testing frameworks like Pytest), PySpark, and SQL. Strong knowledge of data warehousing, medallion architecture, and performance optimization for big data.
• Proven Azure expertise: A solid understanding of Azure services, with experience combining Azure data and integration components into data solutions.
• Innovation-Driven: Youre excited about the future of data engineering and stay up to date with the latest advancements in tools like Databricks and Apache Spark.
• Collaborative Spirit: A team player who thrives in a collaborative environment, with excellent communication skills and a proactive attitude.
• Bonus Skills: Familiarity with tools like DBT, Fabric, or other data processing technologies is a plus.

Specific key Databricks Expertise for current developments:

• Experience with Databricks Workspace and Cluster Management
• Advanced level of PySpark and Spark Optimization
• Delta Lake and Delta Live Tables
• Structured Streaming
• Unity Catalog for Governance
• Databricks SQL (DBSQL)
• Medallion Architecture & Data Lakehouse Design
• Workload & Performance Optimization
• Git Integration and Version Control
• Monitoring, Debugging, and Automation using REST API
• Azure Services Integration (ADF, Synapse)

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Keyskills:   Azure Databricks Azure Data Lake Python Development Python Azure Synapse Azure Data Factory Data Bricks azure SQL