Data Engineer/ Data Analyst-India

JD for Data Engineer-
A minimum of five years of progressively responsible experience in applied analytics, business intelligence, information management or statistics
Experience in mid to expert level programming capabilities in Spark, Python or Scala is required.
Experience on Azure cloud including Data Factory, Databricks, Data lake Storage is highly required.
Demonstrated experience in modern API platform design is required.
Experience in tools managing version control such as Git is highly required.
Experience with data warehousing, database programing languages like SQL, PL/SQL and noSQL databases like Cassandra or MongoDB is required.
Demonstrable knowledge of data analysis life cycle from ingest and wrangling to analysis and visualization to present findings.
Experience with development tools like IntelliJ/Eclipse/VSCode IDE, Build Tool Maven is required.
Experience working with analytical tools like Tableau, Qlik, PowerBI for semantic-layer-based data discovery is desirable.
Strong analytic skills related to working with unstructured datasets.
Excellent problem solving and troubleshooting skills.
Ability to convey complex / difficult data science topics to clients in a relatable manner.