Position overview: We are seeking a talented and experienced Senior Data Engineer to join our team. Senior Data Engineer will collaborate with our cross-functional team to deliver software solutions that drive business growth and success.Technology stack: Azure Cloud, SQL / T-SQL, Python, Kafka, SQL Server- Utilize strong Python development skills for ELT and ETL data transfers and extractions- Collaborate within agile development processes such as Scrum and Kanban- Implement CI/CD concepts to facilitate efficient development and deployment- Demonstrate proficiency in creating detailed technical documentation- Leverage Airflow and DAG development experience to orchestrate data workflows- Contribute to BI and Data Analysis initiatives in end-to-end data platform development- Create high-quality, fully tested code for Cloud-based ETL/ELT data pipelines- Coordinate with offshore teams and participate in the onsite-offshore model based on prior experience- 5+ years of development experience building data pipelines using Cloud technologies- 5+ years of experience in the architecture of modern data warehousing platforms using technologies such as Snowflake or Redshift- Cloud experience - S3, step functions, Glue, Step functions, and Airflow- Good Python development skills in relation to data transformation and extraction (ELT and ETL)- Experience developing and deploying ETL solutions like Informatica or similar tools- Experience working within an Agile development process (Scrum, Kanban, etc.)- Familiarity with CI/CD concepts- Demonstrated proficiency in creating technical documentation- Airflow DAG development experience- Ability and experience in BI and Data Analysis and end-to-end development in data platform environments- Write excellent, fully tested code to build ETL /ELT data pipelines- Good spoken EnglishNice to have: Experience working with SQL/T-SQL, Snowflake, Python, Pipeline Design, Azure (Functions and Services for Data Platform Development), Dbt, Kafka, SQL Server (2016 or above) with expertise in Execution Plan Understanding, Performance Tuning, Data Warehouse, Cube Knowledge, and SSIS.