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Lead Data Engineer

3 months ago

Atlanta, United States Intelliswift Full time

Job ID: 24-03316 Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers. They will architect and design data pipelines and dictate how information should be managed, consolidated and stored for optimal use by the organization.

Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They will drive standardization and reduce effort through automation.

Essential Duties

  • Lead a team of engineers through architecture , design , demand delivery, code reviews , release management , implementation , presentations, and meetings.
  • Mentor fellow data engineers and contribute to ongoing process improvements for the team.
  • Evaluate business needs and objectives and align architecture designs with business requirements
  • Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources
  • Assemble large, complex data sets and model our data in a way that meets functional non-functional business requirements
  • Create data tools for analytics team members that assist them in generating innovative industry insights that provide our business a competitive advantage
  • Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization
  • Build processes to help identify and improve data quality , consistency and effectiveness
  • Ensure our data is managed in a way that it conforms to all information privacy and protection policies
  • Use agile software development processes to iteratively make improvements to our data management systems Identify opportunities for automation
  • Be an advocate for best practices and continued learning

Requirements
  • Bachelor's Tech School degree in Computer Science, MIS or Engineering or relevant technical field and or commensurate years of real-world experience in software engineering.
  • 7+ years of relevant experience in data management
  • 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT
  • 3+ years of experience with Cloud based DW such as Redshift , Snowflake etc.
  • Must have hands on Snowflake
  • Technical expertise with data models , data mining , and segmentation techniques
  • Experience in data acquisition , transformation and storage design using design principles , patterns and best practices
  • Experience with performance analysis and optimization
  • Experience with relational SQL and NoSQL databases , including Postgres and Cassandra
  • Experience with data pipeline and workflow management tools
  • Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow .
  • Experience with stream-processing systems: Kafka , Storm , Spark-Streaming , etc.
  • Data engineering certification is a plus.