Talworx·9 months ago
Location - Bangalore
Exp Range - 4 to 6 years
Requirements and Skills
· should have a bachelor’s or master’s degree in computer science, Information Technology or other quantitative fields
· You should have at least 5 years working as a data engineer in supporting large data transformation initiatives related to machine learning, with experience in building and optimizing pipelines and data sets
· Strong analytic skills related to working with unstructured datasets.
Must-have Programming Skills:
· Person Should have 5+ strong Informatica Power center ETL Tool knowledge .
· Good Hands -on experience in SQL, writing analytical queries and windows functions.
· Good Hands – on experience in creating external tables, partitioning, parquet files.
· 3-5 years of solid experience in Big Data technologies a must.
· Data Engineering experience using AWS core services ( RedShift)
· Knowledge of Python and Pyspark is an add one.
Requirements/Skill sets:
· Knowledge of Database Concepts – Indexing, Partitioning is must.
· Knowledge of Data warehousing – Normalization, Denormalization, Star/Snow-flake schemas.
· Good Hands -on the table’s creations, DDL, DML and TCL .
· Hands on experience in Informatica PowerCenter as an ETL tool.
· Experience with AWS cloud services: Redshift, S3, Athena and familiarity with various log formats from AWS.
· Experience with object-oriented/object function scripting languages: Python, Pyspark.
Experience in, Dbeaver tool .