Data Engineer
JOB DESCRIPTION
Key Responsibilities: Build end-to-end data pipelines for supporting various use cases and downstream users of Warnermedia. Participate in design reviews and work closely with senior engineers in pipeline designing and implementations. SQL, python, and spark skills to support day-to-day work. Perform code fixes and unit testing, production support to make the sure smooth working of the pipelines. Create and maintain data quality checks and pipelines using CI/CD methodology. Develop and maintain frameworks to optimize ETL jobs. Required Qualifications: Strong communication skills, empathy and initiative 5+ years of experience in data engineering. Strong background in data warehouse concept and design. Good understanding of SQL Engine and able to conduct advanced performance tuning. Experience working closely with Analytics/Data Science and product teams. Mandatory Skill: - SQL, Python, Snowflake to support day-to-day work Desired: AWS, Airflow. Must-Have: Global Grade ?= C Developer / Software Engineer - Proficiency in Experienced Developer / Software Engineer - Experience?= Four to Six Years Developer / Software Engineer - How Recent in Less than 3 Years Developer / Software Engineer - Primary = 1 PYTHON - Proficiency in Experienced Snowflake - Proficiency in Experienced Apache Airflow - Proficiency in Experienced PYTHON - Experience ?= Four to Six Years Snowflake - Experience ?= One to Three Years Apache Airflow - Experience ?= Less Than a Year PYTHON - How Recent in Less than 3 Years Snowflake - How Recent in Less than 3 Years Apache Airflow - How Recent in Less than 3 Years PYTHON - Primary = 1 | ||||