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. Connecting to Data sources, importing data, and transforming data for Required Processing/ Reporting/ Business Intelligence
. Designing data schemas/stores and data pipelines for storing and processing of different kind of structured and unstructured data sets like transaction data, review data, video feeds, process data, email data, social feed data and many more
. Develop powerful data stories and visualization in the form of Dashboards
. Working closely with our backend engineering team to build a robust suite of libraries for extracting and manipulating data for our apps.
. Create libraries for data quality assurance and data sanity checks
. Experience with SQL, other relational databases, and other types of databases like NoSQL
. Hands on experience in Data Warehousing concepts
. Strong problem solving and ETL capabilities
. Experience in data processing frameworks (Apache Spark preferable)
. Ability to design and write data workflows in any of the known workflow management engines (Airflow, Oozie, ADF Pipelines, Cloud Composer etc)
. Good knowledge of Cloud Technologies and proficiency in one of the Cloud offerings Aws, Azure or GCP is must have.
. Familiar with testing strategies
. BE/B.Tech or post graduate degree in Computer Applications or IT backgrounds