Job Role - Data Engineer

Location - Bangalore

Min Exp. - 8 yrs

Hybrid Work Model

- Strong understanding of data engineering and dimensional design fundamentals,good at SQL, integration (ETL), front-end analysis / data visualization, learns new technologies quickly.

- Strong in SQL & Hands on coding skills using Python and Shell scripts.

- Designing and developing ETL pipelines across multiple platforms and tools including Spark, Hadoop and AWS Data Services.

- Develop, test and maintain high-quality software using Python programming language and Shell Designing and developing schema definitions and support data warehouse/mart to enable integration of disparate data sources from within Intuit and outside, aggregate it and make it available for analysis.

- Support large data volumes and accommodate flexible provisioning of new sources.

- Contribute to the design and architecture of project across the data landscape.

- Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions.

- Write clean and reusable code that can be easily maintained and scaled.

- Gathering functional requirements, developing technical specifications, and project & test planning.

- Work with business users to develop and refine analytical requirements for quantitative data (view-through, clickstream, acquisition, product usage,transactions), qualitative data (survey, market research) and unstructured data(blog, social network).

- Gathering functional requirements, developing technical specifications, and project & test planning.

- Familiarity with on-call support and issue fix before SLA breach

- Experience with Agile Development, SCRUM, or Extreme Programming methodologies.

- Helps to align to overall strategies and reconcile competing priorities across organization.

Must have :

- Should be strong SQL

- ETL

- Spark

- Hive

- Data Ware House/Datamart design

- Python / Scala / Shell Scripting

- Good in scripting

Should have :

- AWS / Azure

Good to have :