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We been engaged to find an AWS and Snowflake Data Engineer you will be part of a fast-paced team designing, developing, testing, integrating and supporting technically innovative solutions for our Fortune 500 customers.

AWS and Snowflake Data Engineer overview:

  • 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.

AWS and Snowflake Data Engineer requirements:

  • Hands on experience in AWS - EMR [Hive, Pyspark], S3, Athena or any other equivalent cloud
  • Familiarity with Spark Structured Streaming
  • Minimum experience working experience with Hadoop stack dealing huge volumes of data in a scalable fashion
  • Hands-on experience with SQL, ETL, data transformation and analytics functions
  • Hands-on Python experience including Batch scripting, data manipulation, distributable packages.
  • Experience working with batch orchestration tools such as Apache Airflow or equivalent, preferable Airflow.
  • 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
  • Hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality; hand on experience with API development.
  • Designing and developing relational database objects; knowledgeable on logical and physical data modeling concepts; some experience with Snowflake
  • Familiarity with Tableau or Cognos use cases
  • Familiarity with Agile; working experience preferred.

AWS and Snowflake Data Engineer certifications:

  • AWS
  • Snowflake
  • ETL
  • Python

Industry: Data Engineer, AWS, Snowflake

Job Code: j-2014

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