Azure Data Engineer

Terminus Technologies

United States

Remote

USD 3,500 - 4,700

Full time

8 days ago

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Flexible schedule

Job summary

Terminus Technologies seeks an Azure Data Engineering Technical Lead to design, develop, and optimize scalable data engineering solutions using ADF, Databricks, SQL/PLSQL and Python. Remote work is supported with a focus on enterprise data platforms.

The role requires 7+ years in data engineering, strong Azure experience, and leadership capabilities to mentor teams and drive end-to-end projects.

Qualifications

7+ years of experience in data engineering.
Strong hands-on experience with Azure cloud data platforms.
Experience leading technical teams and delivering enterprise data solutions.

Responsibilities

Lead end-to-end data engineering projects using ADF, Databricks, SQL/PLSQL and Python.
Design, develop, and maintain ETL/ELT pipelines and data integration workflows.
Build scalable data models and data warehousing solutions.
Optimize SQL queries, stored procedures, and data pipelines for performance.
Ensure data quality, governance, security, and reliability.
Mentor development teams and collaborate with stakeholders.

Skills

ADF (Azure Data Factory)

Azure Databricks

SQL & Oracle PL/SQL

Python

Data modeling & warehousing

Leadership

Education

Bachelor's degree

Job description

Job Title: Azure Data Engineering Technical Lead

Experience: 7+ Years Role: Technical Lead – Data Engineering

Job Summary

We are seeking an experienced Azure Data Engineering Technical Lead with strong hands-on expertise in Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python to design, develop, and optimize scalable data engineering solutions.

Key Responsibilities

Lead end-to-end data engineering projects involving ADF, Databricks, SQL, PL/SQL, and Python.
Design, develop, and maintain ETL/ELT pipelines and data integration workflows.
Build scalable data models and data warehousing solutions.
Optimize SQL queries, stored procedures, and data pipelines for performance.
Ensure data quality, governance, security, and reliability.
Troubleshoot complex data engineering issues and provide technical solutions.
Collaborate with stakeholders and mentor development teams.

Required Technical Skills

Azure Data Factory (ADF): Pipeline development, orchestration, scheduling, and monitoring.
Azure Databricks: Apache Spark, PySpark, Delta Lake, and data transformations.
SQL & Oracle PL/SQL: Complex queries, stored procedures, functions, and performance tuning.
Python: Data processing, automation, scripting, and ETL development.
Data Engineering: ETL/ELT, data modeling, data warehousing, and data integration.
Leadership: Technical design, code reviews, troubleshooting, and team mentoring.

Preferred Qualifications