Python + SQL Github/Copilot

Skill: Data Engineer - Python + SQL Github/Copilot

Experience: 5 to 8 years

Location: Mumbai(Goregaon)

• *Job Summary**

We are looking for a skilled

• *Data Engineer with strong expertise in Python and SQL**

to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate should have experience working with

• *Git-based repositories, GitHub/Copilot, REST APIs, and cloud platforms (Azure or GCP)**

. The role involves collaborating with cross-functional teams to support data-driven decision making and analytics initiatives.

• *Key Responsibilities
• Design, develop, and maintain
• *scalable data pipelines

using Python and SQL.

• Work with
• *large datasets**

to ensure data quality, reliability, and performance.

• Integrate data from
• *multiple sources and REST APIs**

into centralized data platforms.

• Use
• *Git/GitHub**

for version control, code collaboration, and CI/CD processes.

• Leverage
• *GitHub Copilot or similar AI tools**

to improve development efficiency and code quality.

• Develop and optimize
• *SQL queries, stored procedures, and data transformations**

.

• Deploy and manage data solutions on
• *cloud platforms such as Azure or GCP**

.

• Collaborate with
• *data analysts, data scientists, and engineering teams**

to support analytics and reporting requirements.

• Troubleshoot and optimize
• *data workflows, pipelines, and performance issues**

.

• Follow best practices for
• *data security, governance, and documentation**

.

• *Required Skills
• Strong programming experience in
• *Python and SQL

.

• Hands-on experience with
• *Git and GitHub**

for version control.

• Experience using
• *GitHub Copilot or similar AI coding assistants**

.

• Knowledge of
• *REST API integration and data ingestion**

.

• Experience with
• *cloud platforms (Azure or GCP)**

.

• Understanding of
• *data modeling, ETL/ELT processes, and data pipeline architecture**

.

• *Good to Have
• Experience with
• *data warehousing or big data tools

.

• Knowledge of
• *CI/CD pipelines and automation**

.

• Familiarity with
• *data orchestration tools (Airflow, Prefect, etc.)**

.