Lead AWS Data Engineer Job at SFE, Maryland

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  • SFE
  • Maryland

Job Description

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'

Job Tags

Permanent employment, Full time

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