Data Engineer

1. Create and maintain optimal data pipeline architecture2. Assemble large, complex data sets that meet business requirements3. Identify, design, and implement internal process improvements4. Optimize data delivery and re-design infrastructure for greater scalability5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies6. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics7. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs8. Create data tools for analytics and data scientist team members Skills Required: 1. Working knowledge of ETL on any cloud (Azure / AWS / GCP)2. Proficient in Python (Programming / Scripting)3. Good understanding of any of the data warehousing concepts (Snowflake / AWS Redshift / Azure Synapse Analytics / Google Big Query / Hive)4. In-depth understanding of principles of database structure5.  Good understanding of any of the ETL technologies (Informatica PowerCenter / AWS Glue / Data Factory / SSIS / Spark / Matillion / Talend / Azure)6. Proficient in SQL (query solving)7. Knowledge in Change case Management / Version Control – (VSS / DevOps / TFS / GitHub, Bit bucket, CICD Jenkin)