Sr. Data Engineer - Data Engineering 4B

Sr. Data Engineer

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 Azure Data Engineer

In this role, we are looking for an experienced Azure data engineer to design, develop, and maintain scalable data solutions on Microsoft Azure. The ideal candidate will have a strong background in data engineering, cloud technologies, and analytics, with expertise in building robust data pipelines and optimizing data workflows. This role requires collaboration with cross-functional teams to deliver high-quality solutions that meet business needs.

Responsibilities

• Design and implement scalable data pipelines and ETL processes using Azure Data Factory, Databricks, and other Azure services.
• Develop and optimize data storage solutions, including Azure Data Lake, Azure SQL Database, Snowflake, SQL and Python.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Ensure data quality, security, and compliance by implementing best practices for governance and monitoring.
• Perform performance tuning and optimization of data workflows and queries.
• Create documentation for data architecture, processes, and workflows to ensure knowledge sharing across teams.
• Work closely with analytics teams to enable advanced reporting and machine learning capabilities.

Qualifications we seek in you

Minimum Qualifications

· Bachelor’s degree in computer science, Information Technology, or a related field.

· Strong experience working in Azure data services, data engineering & transformation projects.

· Strong understanding of data warehousing, ETL processes, OLAP concepts and data modelling concepts

· Strong communication and collaboration abilities.

· Experience on Agile way of working

Mandatory Skills:

• Proficiency in Azure services such as Azure Data Factory, Azure Data Lake and Databricks.
• Strong programming skills in Python, SQL for data processing and transformation.
• Experience with ETL/ELT processes and designing data pipelines.
• Experience in Snowflake
• Knowledge of cloud architecture principles and best practices for scalability and security.
• Familiarity with CI/CD pipelines and DevOps practices for deploying data solutions.

Preferred Qualifications/ Skills

• Experience in Banking projects using Azure.
• Certification in Microsoft Azure (such as Azure Data Engineer Associate).
• Understanding of Power BI or other visualization tools for reporting purposes.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Azure Solutions Architect Expert - MicrosoftMicrosoft, Cloudera Certified Professional (CCP) Data Scientist - UpgradUpgrad, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Data Engineer Professional - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft

Required Skills

Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, Personal Effectiveness, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling

Language

English (Required), English (Required)

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Remote

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.