Lead AWS Data Engineer

Job Title: Lead AWS Data Engineer

Duration- Fulltime Permanent

Location: Owings Mills, MD (Onsite from Day 1/Hybrid)

Job Description:

Lead AWS Data Engineer-

• 12+ years of solid hands-on experience in Python, AWS Data Services, DBT, Apache Airflow (on Astronomer platform),

SQL and PySpark

• Very Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement.
• Experience in creating data pipelines and orchestrating using DBT & Apache Airflow
• Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses,

Data Lake and Data Marts.

Must Have Technical/Functional Skills-
• 12+ years of solid hands-on experience in Python, AWS Data Services, DBT, Apache Airflow (on Astronomer platform), SQL and PySpark
• Very Good hands-on knowledge on SQL and Data Warehousing life cycle is an absolute requirement.
• Experience in creating data pipelines and orchestrating using DBT & Apache Airflow
• Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts.
• Experiencing in fixing performance issues / parallelism, Data model exposure is a must.
• Good to have: Experience with cloud ETL and ELT in one of the tools like Glue/EMR or any other ELT tool
• Experience in using Snowflake, DB2, Postgres and other database technologies is plus.
• Excellent communication skills to liaise with Business & IT stakeholders.
• Expertise in planning execution of a project and efforts estimation.
• Exposure to working in Agile ways of working



Roles & Responsibilities
• Lead the design of reliable, secure, and highly available data lakes, data marts and data meshes
• leads the design, development, and maintenance of data integration solutions using Python, AWS Data Services, DBT ensuring data pipeline & data quality
• Collaborate with business stakeholders and architects to define the enterprise data strategy, data models, and migration Roadmap
• Translate complex technical constraints into business insights and manage expectations across cross-functional teams
• Develop, modify, configure & debug existing data pipeline as per the business requirement.
• Troubleshoot and resolve technical issues. Debug, tune and optimize code for optimal performance
• Manage the new requirements, Review the existing jobs, Perform gap analysis & Fixing performance issues, etc.
• Guide, coach, and upskill junior and mid-level data engineers on best practices, coding standards, and modern data patterns
• Document all data flow & mappings, sessions and workflows
• Ticket handling and problem ticket analysis skills in Agile /POD approach