Lead Data Engineer - R01565385

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Job Description

Lead Data Engineer

Primary Skills

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

Specialization

Job requirements

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