Job Description

Responsibilities

• Designing, developing, optimizing, and maintaining data pipelines that adhere to ETL principles and business goals
• Solving complex data problems to deliver insights that helps our business to achieve their goals. 
• Source data (structured→ unstructured) from various touchpoints, format and organize them into an analyzable format.
• Creating data products for analytics team members to improve productivity
• Calling of AI services like vision, translation etc. to generate an outcome that can be used in further steps along the pipeline.
• Fostering a culture of sharing, re-use, design and operational efficiency of data and analytical solutions
• ​Preparing data to create a unified database and build tracking solutions ensuring data quality
• Create Production grade analytical assets deployed using the guiding principles of CI/CD.

Requirements

• Expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least)
• Extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL. 2-3 years of hands-on experience working on these technologies.
• Experience in one of the many BI tools such as Tableau, Power BI, Looker.
• ​Good working knowledge of key concepts in data analytics, such as dimensional modeling, ETL, reporting/dashboarding, data governance, dealing with structured and unstructured data, and corresponding infrastructure needs.
• Worked extensively in Microsoft Azure (ADF, Function Apps, ADLS, Azure SQL), AWS (Lambda,Glue,S3),  Databricks analytical platforms/tools, Snowflake Cloud Datawarehouse.