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Data Engineering- Tech Lead

Location: Bengaluru, KA.
Company Description:

Ugam, a Merkle company, is a leading analytics and technology services company. Our customer-centric approach delivers impactful business results for large corporations by leveraging data, technology, and expertise. We consistently deliver superior, impactful results through the right blend of human intelligence and AI. With 3600+ people spread across locations worldwide, we successfully deploy our services to create success stories across industries like Retail & Consumer Brands, High Tech, BFSI, Distribution, and Market Research & Consulting. Over the past 21 years, Ugam has been recognized by several firms including Forrester and Gartner, named the No.1 data science company in India by Analytics Insight, and certified as a Great Place to Work�. The name Ugam comes from the ancient Sanskrit language and means �source� or �origin.� Ugam seeks to be the source of solutions for the complex problems of retailers, brands and market research firms worldwide. The name signifies the company�s position as a pioneer in the market for data and analytics, and the source of relevant actionable insights for clients.

Job Description:

Role Description:

Play a key role in building next generation data warehousing systems to power impactful business decisions for large corporations. Design and implement scalable data warehouse architecture, including various ETL pipelines and workflow orchestration tools on leading cloud platforms to enable data science and analytics programs. Display client centricity and be result-oriented, with a learning mindset, attention to detail, and ability to prioritize one's work. Ugam, a Merkle company, is Great

Key Responsibilities:

Create data architecture that is flexible, scalable, consistent for cross-functional use, and aligned to stakeholder requirements
Leverage cloud services and build cloud-deployable solutions, preferably in a serverless environment
Design, develop, and maintain scalable and resilient ETL/ELT pipelines for handling large volumes of complex data
Deploy a real-time data governance strategy (organize, transform, activate) using workflow orchestration tools to comply to data modeling, integrity, and privacy principles
Ensure that the data pipeline infrastructure meets the analysis, reporting, and data science needs of the organization
Collaborate with stakeholders like data analysts, data scientist, and IT infrastructure/DevOps teams



Bachelor's / Master's in Computer Science, Engineering, Statistics, Information Systems or other quantitative field

Additional Information:

What are we looking for?

5+ years of industry experience in data engineering, data science, or related field with a good understanding of cloud services
Experience working on warehousing systems, and an ability to contribute towards implementing end-to-end, loosely coupled/decoupled technology solutions for data ingestion and processing, data storage, data access, and integration with business user centric analytics/BI frameworks

Must have skills:
Hands-on experience with Python, advanced level SQL or NoSQL (Google Big Table, MongoDB, or similar)
One or more data warehousing systems (Redshift, Big Query, Snowflake, or similar), one or more ETL tools (Talend, SSIS, Informatica PowerCenter, or similar)
At least one cloud environment and related services (AWS, GCP, Azure, Dataproc, or similar), and one or more CI/CD tools (Git, Bitbucket, Jenkins, Docker, or similar)

Nice to have skills:
Hands-on experience with workflow orchestration tools , setting up CI/CD pipeline to different environment (dev, stage, prod), infrastructure provisioning (IaaS) tools, data visualization tools (Tableau, PowerBI, or similar)
Hands-on experience with other programming languages such as Pyspark, Scala, Node.js, or similar

Other information:

Some travel (national/international) may be required
Should be willing to take short/long term transfers across different geographies and/or roles

More Information:

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