Engineer - Data Engineering

Education: Bachelor’s/Master’s Degree in Engineering, preferably Computer Science/Engineering

Qualifications –

Primary Skills / Must have

3-5 years of experience with the technical analysis and design, development and implementation of data warehousing / Data Lake solutions.

Well versed and Hand-on in Python, PySpark, SQL, Database (Snowflake/Hadoop).

Good understanding/experience in Impala/Spark; Strong SQL programming and stored procedure development skills;

Relational database experience (experience with Snowflake is a big plus); Strong UNIX Shell scripting or Python experience to support data warehousing solutions; Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach; Excellent problem solving and analytical skills; Excellent verbal and written communication skills; Experience in optimizing large data loads; Secondary Skills / Desired skills

Should be a good Team player; Experience in OLAP/Relational databases would be good. Exposure to an Agile Development environment would be a plus. Knowledge about TWS Scheduler would an added advantage; Strong understanding of Data warehousing domain; Ability to architect an ETL solution and data conversion strategy; Good understanding of dimensional modelling;