• 5 Years of experience as a Data Engineer

• Strong technical expertise in SQL is must

• Strong knowledge of joins and common table expressions (CTEs)

• Strong experience with Python

• Strong expertise in ETL process and with various data model concepts

• Knowledge of star schema and a snowflake schema

• Good to have knowledge on AWS services such as S3, Athena, Glue, EMR/Spark with major emphasis on S3 and Glue

• Experience with Big Data Tools and technologies

Key Skills:

• Good Understating of data structures and data analysis using SQL or Python

• Knowledge of implementing ETL/ELT for data solutions end to end

• Understanding requirements, and data solutions (ingest, storage, integration, processing)

• Knowledge of analyzing data using SQL

• Conducting End to End verification and validation for the entire application

Responsibilities:

• Understand and translate business needs into data models supporting long-term solutions.

• Perform reverse engineering of physical data models from databases and SQL scripts.

• Analyze data-related system integration challenges and propose appropriate solutions.

• Assist with and support setting the data architecture direction (including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.