Azure Data Lead - Data Factory

Logiq Labs; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Logiq Labs is seeking a Technical Lead to oversee projects related to Azure Data Factory, Azure Databricks, SQL, and Python. This role involves leading end-to-end data engineering projects, collaborating with stakeholders, and ensuring data security and quality.

The ideal candidate will have proficiency in these technologies, with strong analytical skills and the ability to mentor team members. Relevant certifications are a plus.

Qualifications

• Proficiency in Azure Data Factory and Azure Databricks for building and managing data pipelines.
• Strong experience with SQL and Oracle PL/SQL for data querying and manipulation.
• Advanced programming skills in Python for scripting and data processing tasks.
• Ability to work in a collaborative team environment and communicate effectively with stakeholders.

Responsibilities

• Lead and manage end‑to‑end data engineering projects using Azure Data Factory.
• Design and develop ETL processes.
• Provide technical guidance and mentorship to team members.
• Ensure data quality and governance standards are maintained.

Skills

Azure Data Factory (ADF)

Azure Databricks

SQL

Oracle PL/SQL

Python

Data modeling

Data warehousing

Analytical skills

Data visualization

Education

Relevant certifications in Azure, SQL, or Python

Job description

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices.

Key Responsibilities

• Lead and manage end‑to‑end data engineering projects using Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, and Python.
• Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
• Design and develop ETL processes, data models, and data integration solutions.
• Provide technical guidance and mentorship to the team members.
• Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
• Troubleshoot and optimize data pipelines and processes for performance and efficiency.
• Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

• Proficiency in Azure Data Factory (ADF) and Azure Databricks for building and managing data pipelines.
• Strong experience with SQL and Oracle PL/SQL for data querying and manipulation.
• Advanced programming skills in Python for scripting and data processing tasks.
• Knowledge of data modeling, data warehousing concepts, and database design principles.
• Ability to work in a collaborative team environment and communicate effectively with stakeholders.
• Strong analytical and problem‑solving skills with attention to detail.
• Experience in data visualization tools and techniques is a plus.

Certifications

Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Primary Skills

Data Fabric – Azure – Azure Data Factory (ADF) and skills: Azure, Databricks, and Python.