Azure Data Engineer

Anblicks; Dallas (TX); On-site; USD 85,000 - 115,000; Full time

Job summary

Anblicks is seeking a Data Engineer in Dallas, Texas, to design and automate data pipelines for Credit & Data Integrations, as well as to collaborate with cross-functional teams. Candidates should have substantial experience with Azure, SQL Server, and Python.

The role emphasizes the quality of data for analytics, requiring skills in ETL pipelines, JSON/XML parsing, and SSIS package debugging. Join us to contribute to our data-driven solutions!

Qualifications

• Substantial experience with Azure, SQL Server, Python, and Snowflake.
• Expertise in ETL pipelines and credit-bureau/JSON/XML parsing.
• Ability to execute and debug SSIS packages.

Responsibilities

• Design and develop data pipelines for various datasets.
• Collaborate with Credit, Data Science, and Data Engineering teams.
• Ensure data availability for analytics and reporting.

Skills

Azure

SQL Server

Python

Snowflake

ETL pipelines

SSIS

Job description

• The Data Engineer position involves designing, developing, automating, and maintaining data pipelines for Credit & Data Integrations, Insurance datasets, Application datasets, and Snowflake migrations.
• This role requires direct collaboration with the Credit , Data Science, and Data Engineering teams with minimal supervision to ensure high-quality data availability for analytics, reporting, and Decision Engine workflows.
• Key skills for this role include substantial experience strong with Azure ,SQL Server, Python, Snowflake, and ETL pipelines, as well as expertise in credit-bureau/JSON/XML parsing. Additionally, some packages are still in SSIS, so the ability to execute and debug SSIS packages is also necessary.