Lead Consultant – Data Engineer

1 month ago

Gurugram, India Genpact Full time

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.

Inviting applications for the role of Lead Consultant – Data Engineer

In this role, The Data Engineer will be responsible for designing, building, and managing a data infrastructure that handles data processing and reporting. It also includes importing data from both internal and external sources. Collaboration with various teams is necessary to create useful and reusable datasets and metrics. The focus is on making the infrastructure and applications scalable, reliable, and secure. Automation through coding is important, as well as researching and implementing security and privacy measures.

Responsibilities

Design, build and maintain analytical data infrastructure which includes both data processing and data reporting.

Onboarding data from both internal and external systems.

Collaborate with Product, Engineering, Science, Data analysts and Data scientists to implement rich and re-usable datasets/metrics.

To make data infrastructure and applications scalable, reliable, and secure.

Strong attitude towards automating routine tasks via coding/scripting.

Research on security and privacy requirements and provide solutions.

Qualifications

Minimum qualifications we seek in you 

BE/B Tech/ MCA

Experience in building/operatinghighly available, distributed systems of data extraction, ingestion, and processing of large data sets.

Experience writing complex, highly optimized SQL queries.

Experience with reporting to enable explanatory and exploratory analytics.

Python development experience.

Have experience with dbt, Airflow, Snowflake and AWS infrastructure.

Have experience implementing APIs to share data with internal / external vendors.

Experience implementing streams.

Understanding of privacy and security regulations (e.g., GDPR, HiTrust, HIPA)

Preferred Qualification: 

Experience working in healthcare or related industries.

Experience working on Python

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