Assistant Manager, Azure Data Engineer at Genpact LLC USA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Engineer, Apache Spark, PySpark, Databricks, Delta Lake, ETL, Data Modeling, Azure DevOps, SQL, Data Integration, Data Visualization, Agile Methodology, CI/CD, Medallion Architecture, Data Warehousing, Big Data

Industry

Business Consulting and Services

Description

Sr. Analyst - BI, Reporting and Data Visualization Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook. Job Description Inviting applications for the role of Assistant Manager Azure Data Engineer In this role you will be expected to design develop and maintain data integration and provision for data analytics and reporting teams. Responsibilities: - Transform raw data into consumable datasets for MI/BI teams using business logic and data modeling requirements - Build and optimize Spark jobs workflows and data transformation logic for high volume datasets. - Handle large datasets performance tuning and troubleshooting of Databricks workflows - Build and optimize ETL workflows using Py Spark SQL and Delta Lake. - Develop scalable data ingestion frameworks for batch and streaming data. - Implement Delta Lake features: ACID transactions schema evolution optimization - Maintain dataflow orchestration and develop solutions for real-time and batch data processing using in-house orchestration tools - Implementing data validation and cleansing procedures ensuring the quality integrity and dependability of the data. - Improve the scalability efficiency and cost-effectiveness of workflows - Work with Dev Ops teams to implement CI/CD pipelines (Azure Dev Ops/Git Hub Actions) - Analyze and resolve complex data issues while with stakeholders delivering data solutions aligned with business needs - Design and implement efficient data models (bronze/silver/gold layers) following medallion architecture - Collaborating with wider Data teams to provide data for analytics and reporting Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Certified Data Management Professional - RiversandRiversand, Data Analysis Certificate - SuperCode AISuperCode AI, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Microsoft Certified: Power BI Data Analyst Associate - MicrosoftMicrosoft, Tableau Desktop Specialist - EdurekaEdureka Required Skills Agile Methodology, Agile Methodology, Apache Flume, Apache Impala, Apache NiFi, Apache Spark, Apache Spark MLlib, AWS DynamoDB, Azure SQL Data Warehouse, Big Data, Big Data Management, Client Relations, Cloudera Data Platform, Collaboration Tools, Database Server, Data ETL, Data Integration, Data Modeling, Data Testing, Data Visualization, Data Warehousing (DW), Design Thinking, Elastic Stack (ELK), Executive Presence, Flask (Web Framework) {+ 14 more} Language English Language Proficiency - Proficient - C2 Additional Job Location - Job Type Regular Master Skill List - BI, Reporting and Data Visualization Remote Type - Hybrid Work Shift - Evening Job (India) Why join Genpact? • Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter • Make an impact – Help global enterprises solve business challenges that matter • Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Responsibilities

Design, develop, and maintain data integration pipelines and consumable datasets for BI and reporting teams. Optimize Spark jobs and implement scalable data ingestion frameworks using Medallion architecture.