Job Description : Job Responsibilities : Responsible for building azure pipelines to ingestion the data into a data lake and build analytics for data consumption.
Participate in all phases of the development lifecycle, from initiation through post-implementation support. Work with business and technical teams and develop reusable ETL solutions.
Spend 25% of their time in building automation frameworks to improve operational efficiencies and accelerate delivery. Solve complex analytical and operational problems and provide timely solutions.
Participate in unit and integration tests and support user acceptance testing. Create technical deliverable artifacts such as source-to-target mappings and implementation checklists needed for project implementation.
Minimum Qualifications : Five years of experience with data warehousing or enterprise-level analytics and software development.
Proficient in writing SQLs and performance tuning. Good communication and intrapersonal skills. Two years of hands-on experience in python scripting.
More than a year of experience with Azure analytics toolsets (ADF, ADLS, ADO, Databricks) and cloud migrations. Experience in Agile, DevOps, and Delivery transformation practices.
Experience in Spark, Teradata SQL and BI tools such as Power BI or Tableau is an added advantage.