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(2) Data Engineer II - Snowflake - SQL - Python

(2) Data Engineer II - Snowflake - SQL - Python

ZEEKTEKSt Louis, MO, United States
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We have a 12 month contract, opportunity to hire, for a highly motivated and collaborative professional with 2-4 years of experience developing and operationalizing data pipelines for ingestion, transformation, validation, and optimization. They possess strong expertise in Snowflake, SQL, and Python, with a proven ability to source and manage data from diverse systems, including relational databases like Oracle / SQL Server and JSON-based sources such as MongoDB and Kafka. This individual has hands-on experience leveraging tools in the AWS ecosystem and vendor platforms like Upsolver and Informatica IDMC, as well as using Git for version control. They thrive in agile, sprint-based environments, can work independently after onboarding, and excel at collaborating with source and downstream teams to deliver clean, structured data for reporting and analytics. A strong problem-solver and communicator, they contribute valuable insights to team discussions and help drive continuous improvement in data engineering practices. 100% Remote.

MUST HAVES :

  • 2-4+ years of experience
  • Snowflake
  • SQL
  • Python

NICE TO HAVES :

  • GIT experience
  • Disqualifiers :

  • Missing Snowflake / SQL experience
  • About the Role :

  • The Data Sourcing team is established to help source data into our Snowflake environment. We source from multiple source applications that are rooted as relational sources like Oracle / SQL Server or JSON based sources from Mongo / Kafka. We leverage different utilities to write the data to Snowflake that include, but not limited to, Upsolver and Informatica IDMC. Once the data is in Snowflake, we write data to different layers of our Snowflake applications leveraging stored procedures written in Python.
  • We work with different source team who are SMEs on the data sets and downstream teams who help further refine the data into different datasets for reporting needs. Our team works in an agile fashion in two-week sprints leveraging agile best practices.
  • Responsibilities :

  • This specific role would be more focused around our JSON based sourcing into Snowflake leveraging different tools in the AWS ecosystem and different vendor tools. They would also be working within Snowflake platform to write data to different Snowflake tables via stored procedures.
  • For this role, you are expected to be able to take on work independently or in a group fashion after a comprehensive onboarding process. The team is always working together but the level of expectation for this role is higher than an entry level position where there should be less basic explanations required. We'd also look for this individual to be engaged in team conversations and helping add perspective to discussion around projects.
  • Job Description : Job Profile Summary

    Position Purpose :

    Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment

    Education / Experience :

    A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 - 4 years of related experience.

    Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.

    Technical Skills :

    One or more of the following skills are desired.

    Experience with Big Data; Data Processing

    Experience with Other : diagnosing system issues, engaging in data validation, and providing quality assurance testing

    Experience with Data Manipulation; Data Mining

    Experience with Other :

  • Experience working in a production cloud infrastructure
  • Experience with one or more of the following C# (Programming Language); Java (Programming Language); Programming Concepts; Programming Tools; Python (Programming Language); SQL (Programming Language)

    Knowledge of Microsoft SQL Servers; SQL (Programming Language)

    Soft Skills :

    Intermediate - Seeks to acquire knowledge in area of specialty

    Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions

    Intermediate - Ability to work independently

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    Data Engineer Python • St Louis, MO, United States

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