Big Data Engineer - Scala/Spark (8-12 yrs)

Job Description :

Must have 8+ Years of experience with Big Data technologies Spark with Scala, Data Analysis with Azure Databricks and ADLS, ADF.

- Must have experience on Azure SQL for Log analysis.

- Familiar with development of life cycle including CI/CD pipelines.

- Experience of Business Intelligence project development.

- Having Microsoft SQL Server BI stack (SSAS/SSIS) experience is preferable.

- Knowledge on Data warehousing knowledge with designing Star schema/Snowflaking is added advantage

- Ability to work with multiple projects and prioritize accordingly

- Experience of working in source-controlled environments like GitLab/GitHub.

- Hands on Experience as a software engineer in a globally distributed team

- Proven experience and interested in supporting existing strategic applications

- Familiarity working with agile methodology

- A history of producing secure and clean code that is stable, operational, consistent, and well-performing

- Methodology know-how on how to ensure that project deliverables meet industry best practices

- Strong analytical, problem-solving and synthesizing skills (you know how to figure things out)

- effective within the complexity, constraints and boundaries of a leading global organization, operating in a highly regulated industry, running on bespoke software

- Flexible and resilient team player with strong interpersonal skills taking initiative to drive things forward

- Keen to develop subject matter expertise on our core products and solutions overall

- Experience in financial services is a plus, but not required

- A Bachelor's or Master's degree with 8+ years of experience predominantly in software delivery

- Fluent in English