Skills Required
9+ years of experience in Data Engineer role.
Strong hands-on experience on Python programming language.
4+ years of experience in designing & building real time data pipelines and analytical
solutions using cloud technology ecosystem (Azure, Snowflake, Spark (preferably PySpark)
Strong understanding of DB Concepts & SQL /PL SQL
Strong Data warehousing Expertise
Experience in On-Premises to Cloud DWH migration
Expertise with Data Lake/Big Data Projects implementation in cloud - Azure + Snowflake
Ability to develop, maintain and distribute the code in modularized fashion.
Process oriented, focused on standardization, streamlining, and implementation of best
practices delivery approach
Basic understanding of Unix shell script and Unix OS platform
Excellent problem solving and analytical skill
Excellent verbal and written communication skills
Ability to multi-task and function efficiently in a fast-paced environment
Self-starter with flexibility and adaptability in a dynamic work environment
Good Understanding of Agile Methodology
Secondary Skills / Desired skills
Experience in Visualization Tools (preferably Tableau, Power BI)
Experience in Databricks, Kafka
Financial Domain experience will be a plus
Bachelor's degree in Computer Science