Overview
Acquire, curate and publish data on-premises and in the cloud for analytical and operational use, delivering a single version of the truth to business users, reporting specialists and data scientists.
What you'll do
- Consult on data projects of intermediate complexity to understand design requirements and existing business processes, and lead the design, development and implementation of data products.
- Practice code management and integrate work with current architectural and data governance guidelines.
- Produce data building blocks, data models and data flows for dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting and data science research.
- Create business user access methods to structured and unstructured data.
- Apply techniques such as mapping data to a common data model, natural language processing, transforming data to satisfy business rules, AI, statistical computations and data validation.
- Translate business data stories into technical story breakdown structures and work estimates for a schedule or planned agile sprint.
- Develop and maintain moderately complex scalable data pipelines for streaming and batch requirements, and build new API integrations.
- Prep and cleanse data to optimize it for downstream reporting via standard visualization or AI/ML tools.
- Develop data project plans and execute them with some supervision.
What you'll need
- SQL - Advanced
- DBT / Informatica - Advanced
- Python / PySpark - Intermediate
- Power BI - Intermediate
- Shell Scripting - Intermediate
- Problem Solving - Intermediate
- Snowflake - Intermediate (4-6 Years)
- DBT - Intermediate (4-6 Years)
- Power BI - Entry Level (1-3 Years)
Details
- Locations: Hyderabad, Telangana, India; Pune, Maharashtra, India
- Flexible work arrangements (remote and/or office-based)
Read the full description and apply on the company’s own careers page.