*Data Engineer with Data Testing / Analyst (Strong SQL & Data Validation)* (14+ years experience is must)

  • Posted 18 hours ago | Updated 18 hours ago

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Amazon Redshift
Amazon Web Services
Data warehouse
Data validation
Data quality
Data integrity
Extract
transform
load
ETL QA
SQL
Scripting
Data warehouse QA
Testing
Test cases
Python
Data Analyst
Data Tester
QA
Data Engineer

Job Details

Kellton Tech is a full-service software development company, offering end-to-end IT solutions, strategic technology consulting and product development services in Web, SMAC (Social, Mobile, Analytics, Cloud), ERP-BPM, and IoT space Our methodology of inventing infinite possibilities with technology helps us develop best in-class and cost effective solutions for our clients.

 

Currently Kellton Tech is looking for talented resources for one of our listed client. Below are the position details:

 

Position: Data Engineer with Data Testing exp and strong SQL & data validation skills

Location: EST (Remote)

Duration: Long Term Contract

 

Data tester should be more like a data analyst and should have data validation skills with experience in data warehousing/data mart. Candidates should understand data lineage. Candidate should demonstrate a problem solving approach. The candidate should have strong SQL skills to understand and do the root cause analysis of data issues. The data tester will not develop ETL pipelines (unlike what a typical data engineer would do).

 

We prefer profiles in the Fintech, banking, healthcare and insurance sectors as they use a lot of data from the domains.

Candidates should have experience in analyzing customer data.

 

JD for data testing

Develop, maintain, and execute test cases to validate the accuracy, completeness, and consistency of data across different layers of the data warehouse.

  • Test ETL processes to ensure that data is correctly extracted, transformed, and loaded from source to target systems while adhering to business rules
  • Perform source-to-target data validation to ensure data integrity and identify any discrepancies or data quality issues.
  • Develop automated data validation scripts using SQL, Python, or testing frameworks to streamline and scale testing efforts.
  • Conduct testing in cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake), ensuring performance and scalability.
  • Familiarity with ETL testing tools and frameworks (e.g., Informatica, Talend, dbt).
  • Experience with scripting languages to automate data testing.
  • Familiarity with data visualization tools like Tableau, Power BI, or Looker.

 

Apply: Interested candidates can apply with their detailed word formatted resume along with their contact information\availability to raj DOT sekhar AT Kellton DOT com

- 7.0.3.5.92.9.15.7

 

Thanks for all your time!

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