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AWS Data Engineer

Technogen International Company
Portland, OR
Full-time

Position : AWS Data Engineer

Job Location : Portland, OR (Onsite)

Responsibilities :

The primary tasks, functions and deliverables of the role)

  • Design and build reusable components, frameworks, and libraries at scale to support analytics products
  • Design and implement product features in collaboration with business and Technology stakeholders
  • Identify and solve issues concerning data management to improve data quality
  • Clean, prepare and optimize data for ingestion and consumption
  • Collaborate on the implementation of new data management projects and re-structure of the current data architecture
  • Implement automated workflows and routines using workflow scheduling tools
  • Build continuous integration, test-driven development and production deployment frameworks
  • Analyze and profile data for designing scalable solutions
  • Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues

Professional Experience :

  • Strong understanding of data structures and algorithms
  • Strong understanding of solution and technical design
  • Has a strong problem solving and analytical mindset.
  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
  • Able to quickly pick up new programming languages, technologies, and frameworks
  • Experience building cloud scalable, real time and high-performance data lake solutions
  • Fair understanding of developing complex data solutions
  • Experience working on end-to-end solution design
  • Willing to learn new skills and technologies
  • Has a passion for data solutions

Required and Preferred Skill Sets :

  • Hands on experience in Databricks and AWS - EMR Hive, Pyspark , S3, Athena.
  • Familiarity with Spark Structured Streaming.
  • Minimum 4 years' experience working experience with Hadoop stack dealing huge volumes of data in a scalable fashion
  • 10+ years of hands-on experience with SQL, ETL, data transformation and analytics functions.
  • 8+ years of hands-on Python experience including Batch scripting, data manipulation, distributable packages
  • 4+ years' experience working with batch orchestration tools such as Apache Airflow or equivalent, preferable Airflow
  • 4+ years working with code versioning tools such as GitHub or Bitbucket; expert level understanding of repo design and best practices
  • Familiarity with deployment automation tools such as Jenkins
  • 8+ years of hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality;

hand on experience with API development

4+ years designing and developing relational database objects; knowledgeable on logical and physical data modelling concepts;

some experience with Snowflake

  • Familiarity with Tableau or Cognos use cases
  • Familiarity with Agile; working experience preferred
  • 1 day ago
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