Lead Data Engineer
- Athena, Step Functions, Spark - Pyspark, ETL Fundamentals, SQL (Basic + Advanced), Glue, Python, Lambda, Data Warehousing, EBS /EFS, AWS EC2, Lake Formation, Aurora, S3, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals, Cloud front
- AWS Data EngineerIng Basic: Senior Data Engineer
Strong experience in data engineering, ETL (preferably Informatica), and data architecture Experience working with Salesforce platforms and data models Hands-on experience with Airflow and MuleSoft Strong SQL skills with Snowflake and other relational databases Experience writing complex Python modules for custom ETL workflows Expertise in building batch and real-time data pipelines Experience with dbt for data transformation and modeling Familiarity with AWS/GCP and distributed/event-driven architectures Strong understanding of data modeling, data warehousing, and big data processing Experience with data quality, monitoring, and pipeline orchestration frameworks Ability to work closely with Product, Data Science, and Analytics teams Experience working on Salesforce Flows and Apex is a plus
- Good understanding of Agile delivery process
