Job type full-time
Full job description
Job title : assistant manager, data engineering job location: bangalore job level: 1d 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 lifeAs a leading fast-moving consumer goods organization, unilever has its operations extended all over the globe.
Within unilever, unilever operations (uniops) team is a global team tasked with the mission of bringing unilever’s compass strategy of ‘doubling the business and reducing environmental footprint to half’ to lifeUnilever operations brings together the synergy between services, technology, information & analytics to improve effectiveness of employees, drive efficiency and generate sustainable growth.
With a fast changing, complex, highly competitive and a dynamic environment which unilever operates in, data is key, however, what differentiates unilever from its competition is the data & analytics (d&a) team which ensures information which is right and available at the right moment to enable quick and accurate business decision making thus making sense of the data footprint a company like unilever createsD&a is one of the uniops service lines whose focus area is to fundamentally change how we deliver business information at unilever and is primarily driven to turn complexity to simplicity to grow the business with smarter decisionsAt d&a, we create information intelligence solutions which enable our customers to taste success by ensuring long term sustainable growth and profitability.
Data & analytics is a team of enthusiastic and bright people who enable quicker & smarter business decisions while ensuring a delightful user experience across the enterprisePlaced 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.
The d&a data engineering and architecture team is the engine behind the ambition of making data engineering and architecture knowledge a common practiceThis team is responsible for ensuring unilever data lake is modelled as per industry best standardsThe services from this team are consumed by the data smes, product teams, various data factories for products rollout and the data governance team.
We are looking at enthusiastic and bright candidates to become a part of this team and work closely with our partners and stakeholders to deliver superior analytical capabilitiesMain purpose of the job: this role will play an individual contributor role in the data engineering team, implementing modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing, and cloud services.
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 formatsPerson 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.
Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, ai (artificial intelligence) enablement, and api (application programming interface) integrations
Participate in deep architectural discussions to build confidence while building innovative 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
Work closely with the d&a markets, functions, business teams, geo it, and any spoke teams when it comes to data engineering requirements
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 includes improved ways of working between engagement, tracking, simplification and standardization
Design thinking and agile scrum approach
Qualifications required: essential:
3 to 5 years of relevant experience in big data solutioning and cloud computing
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: ideal candidates would preferably have a master’s or bachelor`s degree in computer science / information technology other skills:
Excellent communication, active listening and presentation skills and ability to communicate effectively with all levels in the organisation
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 issuesPassion 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
Posted 30+ days ago