SDET with Data Lake Validation- local to Cincinnati, OH

  • Cincinnati, OH
  • Posted 11 hours ago | Updated 11 hours ago

Overview

On Site
$60+
Contract - W2

Skills

Proven hands-on experience with Databricks test automation
Spark
Python
and Azure.Strong background in data validation for data lakes and transformations.Experience with automation frameworks
functional testing
and CI/CD integration.Knowledge of Kusto (ADX)
SQL
and Parquet/Delta data formats.Some UI automation experience is a plus (ability to learn quickly).Familiarity with financial transaction/payment validations strongly preferred.Excellent communication skills: ability to operate at a senior level
explain strategy
and demonstrate prior impact.Senior level QA/SDET with a proven track record of delivering automation in Databricks and Azure ecosystemsQuick to learn functional and technical aspects of new systemsStrong communicatorKey Responsibilities Own the test strategy
implementation
and automation for batch and streaming data pipelines on Databricks
Azure Data Explorer (ADX)
and cloud data lakes. Build automated tests and quality gates for data ingestion
transformation
and output validation (ADX/Delta/Parquet/SQL). Integrate test automation into CI/CD pipelines. Partner with data engineers
platform
and analytics teams to ensure correctness
reliability
and compliance. Design and automate functional validation of Databricks transformations (modern equivalent of ETL validation). Create and execute use cases for payments and transactions (CC authorization
GC authorization
purchases
modifications
domain-specific data). Perform validation for data logs
reporting outputs
and PowerBI dashboards. Support legacy test scripts when necessary
while driving modernization.

Job Details

SDET with Data Lake Validation- local to Cincinnati, OH

Client Kroger

local candidate for the below SDET role. Please review and let me know If you have any candidates.

Job Description

We are seeking a Senior QA Engineer / SDET with strong experience in data lake validation, Databricks automation, and reporting tool testing. The ideal candidate will be responsible for building and executing test strategies that ensure data quality, reliability, and compliance across complex data pipelines at enterprise scale.

This role will focus heavily on data validation, functional testing of Databricks transformations, and automation of data quality checks. The candidate must have prior hands-on experience with data lake validations, Spark/Python scripting, and Azure cloud tools.

Requirements:

Proven hands-on experience with Databricks test automation, Spark, Python, and Azure.
Strong background in data validation for data lakes and transformations.
Experience with automation frameworks, functional testing, and CI/CD integration.
Knowledge of Kusto (ADX), SQL, and Parquet/Delta data formats.
Some UI automation experience is a plus (ability to learn quickly).
Familiarity with financial transaction/payment validations strongly preferred.
Excellent communication skills: ability to operate at a senior level, explain strategy, and demonstrate prior impact.
Senior level QA/SDET with a proven track record of delivering automation in Databricks and Azure ecosystems
Quick to learn functional and technical aspects of new systems
Strong communicator
Key Responsibilities

Own the test strategy, implementation, and automation for batch and streaming data pipelines on Databricks, Azure Data Explorer (ADX), and cloud data lakes.

Build automated tests and quality gates for data ingestion, transformation, and output validation (ADX/Delta/Parquet/SQL).

Integrate test automation into CI/CD pipelines.

Partner with data engineers, platform, and analytics teams to ensure correctness, reliability, and compliance.

Design and automate functional validation of Databricks transformations (modern equivalent of ETL validation).

Create and execute use cases for payments and transactions (CC authorization, authorization, purchases, modifications, domain-specific data).

Perform validation for data logs, reporting outputs, and PowerBI dashboards.

Support legacy test scripts when necessary, while driving modernization.

Note to Vendors

This SDET role has 2 openings. They will be supporting Customer Technology, specifically Digital Platform Services and OmniChannel Payments
This is a 6 month contract to hire opportunity that will likely extend. There is no approved FTE headcount, and there is no guarantee that there will be in the future.
Local candidates will be looked at and considered first. Theses contractors should expect to be in the office Monday - Thursday at the BTD location.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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