Data Engineer II

Design, build, and sustain efficient, scalable, and performant Data Engineering Pipelines.
 * Develop, optimize, and support production data workflows to ensure comprehensive and accurate datasets.
 
 Qualifications: 
 * Bachelor's in Computer science or associated discipline with relevant industry experience(3+ Years) in a data engineering role.
 * Proficiency in writing and analysing complex SQL, Python or any 4GL.
 * Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure tools (e.g., Terraform, CloudFormation).
 * Hands-on experience with Cloud Data Warehouses like Snowflake, Redshift, Big Query or other big data solutions
 * Experience with distributed data processing frameworks (e.g., Apache Spark, Airflow, Flink, Beam, and Trino).
 * Experience with real-time/streaming data technologies (e.g., Kafka, Kinesis, and Spark Streaming).
 * Experience in version control and CI/CD workflows (e.g., Git).
 * Familiarity with BI Tools like Looker, Tableau & Power BI, dashboard design, data quality, data governance, and data observability tools