Assistant Manager, Data Engineering
Unilever Industries Private Limited (UIPL)
Bangalore Centre
5d ago




Unilever, for almost a century now, has been involved in designing products and innovations which have transformed people’s lives and help them feel good, look good and experience more out of life.

As a leading fast-moving consumer goods organization, Unilever has its operations extended all over the globe.

Data & Analytics is a team of enthusiastic and bright people who enable quicker & smarter business decisions while ensuring a delightful user experience across the enterprise.

Placed Centrally, D&A Champions have access to a pool of talented data experts spread across six continents and work with our partners, functions, categories, and geographies to harmonise decision-making and deliver technology solutions to drive business insight.


Unilever is keen to tap the new opportunities with the changing business landscape and it does involve the integration of new data sources and various range of data formats.

Person in this role will be in key position to Understand the Business requirements and build the frameworks that would help us solve key business problems.

Key responsibilities of the role include :

Spearhead the Product Development through engaging with the Product Owners and key Business Stakeholders and understand the business needs.

Collaborate with enterprise architects, data architects, ETL (Extraction Transfer Load) developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities.

Participate in deep architectural discussions to build confidence while buildinginnovative solutions and migrating existing data applications on the Azure platform.

Optimize data integration platform to provide optimal performance under increasing data volumes

Create training contents for new joiners and SME’s.

Support the data architecture and data governance function to continually expand their capabilities

Manage and work with 3rd Party Data engineers

Lead creation of design patterns for effective Data Engineering Practices across functions.

Implement business and IT (INFORMATION TECHNOLOGY) data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools

Work with business and application / solution teams to implement data strategies, lead build of data flows

Work proactively and independently to address project requirements and articulate issues / challenges to reduce project delivery risks


Development of the ETL Frameworks with best practice available in the market.

Development of Data Solutions in alignment with the Data Security and Data Governance Rules in various Markets (Countries)

Develop an exceptionally good understanding of Unilever Data & Analytics Strategy and ensure alignment of team’s priorities to the strategy

Build and manage relationship with stakeholders within D&A and Business

Committed to drive operational excellence and be an example for the team

Ensure adherence to SLA (Service Level Agreement) and drive user satisfaction

Mentor team on continuous improvement which will includesImproved ways of working between engagement, tracking, Simplification and Standardization

Design thinking and Agile Scrum Approach


Essential :

Experience in developing data pipelines to transform, aggregate and or process data using Azure Databricks platform

Experience in creating data pipelines using Azure Data Factory, Polybase and U-SQL.

Hands-on experience in implementing Azure Cloud data warehouses, Azure and No-SQL databases, Graph DB (Data Base) (e.g., Neo4j, Gremlin) and hybrid data ingestion scenarios

Experience in creating tabular models (DAX) in Visual Studio.

Hands on Experience in Azure DevOps / Git Hub for Code maintenance and Deployment

Experience of Working with Senior Business Stake holders.

Education : OTHER SKILLS :


Passion for delivering service excellence; and developing a culture of easy to do business with , where customer’s needs are anticipated

Highly analytical mind-set with strong ability to identify, troubleshoot, problem solve and resolve issues. Passion for simplification and continuous improvement

Strong interpersonal skills with the ability to collaborate with team members to understand and develop technology solutions for business needs

Organised, strong time management skills and ability to prioritise multiple tasks to meet established deadlines

Ability to work quickly and accurately, especially under pressure; and within a cross-culture and global environment

Ability to work with a broad, virtual team

Analytically minded with good numerical ability and logical reasoning

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