Analytica is hiring a
Data Engineering Lead, Remote - Worldwide

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Analytica

πŸ’΅ ~$226k-$247k
πŸ“Worldwide

Summary

The job is for a remote Data Engineering Lead at Analytica who will lead cloud data engineering implementations on federal projects. The role requires 8+ years of experience in ETL processes, 4+ years with Databricks, knowledge of AWS services, and various other technical skills.

Requirements

  • US Citizen with the ability to secure US Federal Security Clearance
  • Bachelor’s degree in Computer Science, Software Engineering or other technical field. Masters Degree a plus
  • 8+ years of experience in designing and developing ETL processes and managing data pipelines
  • 4+ years of experience with Databricks, including building and optimizing data pipelines using Databricks notebooks and clusters
  • Experience using various AWS services, including AWS Glue, Amazon S3, and Amazon Redshift
  • Experience designing, developing, and maintaining ETL pipelines, including data extraction, transformation, and loading processes
  • Experience with AWS Glue Data Catalog for managing metadata, schema definitions, and data lineage
  • Experience monitoring ETL job runs, identifying bottlenecks, and troubleshooting issues, including use of AWS CloudWatch
  • Knowledge of performance optimization techniques for ETL jobs, such as partitioning, bucketing, and caching
  • Ability to write Python code for ETL scripts and custom transformations
  • Experience with Tableau, PowerBI, and/or SAS Viya business intelligence tools
  • Ability to effectively communicate in writing and orally with a wide range of audiences and maintain interpersonal relationships
  • Ability to work within time constraints and manage multiple tasks against critical deadlines

Responsibilities

Lead cloud data engineering implementations that support business intelligence, machine learning, data science and/or graph analytics on federal client projects

Preferred Qualifications

Certifications in Databricks (Machine Learning, etc)

Benefits

  • Competitive compensation with opportunities for bonuses
  • Employer-paid health care
  • Training and development funds
  • 401k match

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