Azure Senior Data Lead

HCL Technologies Limited; Dadri; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

HCLTech seeks a Senior Technical Lead to lead data engineering initiatives, spanning Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, and Python. You will design, develop, and optimize scalable data pipelines and ETL solutions for large datasets.

The role requires mentoring junior engineers, collaborating with cross-functional teams, and implementing best practices in data security and governance while staying current with industry trends.

Qualifications

• Experience leading data projects with Azure data tools.
• Strong SQL and Oracle PL/SQL skills.
• Proficiency in Python for automation and scripting.
• Knowledge of data warehousing, ETL, and data modeling.
• Certifications in Azure Data Factory, Azure Databricks, SQL, Oracle or Python are a plus.

Responsibilities

• Lead end-to-end technical implementation of data projects using ADF, Databricks, SQL, Oracle PL/SQL and Python.
• Design and develop efficient ETL processes for large datasets.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
• Implement best practices for data security, governance and compliance.
• Provide technical guidance, mentoring, and support to junior team members.
• Stay up-to-date with trends and technologies in data engineering and analytics.

Skills

ADF

Azure Databricks

SQL

Oracle PL/SQL

Python

Data Warehousing

ETL Processes

Data Modeling

Data Governance

Mentoring

Communication

Tools

Azure Data Factory

Azure Databricks

Job description

The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions.

Key Responsibilities

• 1. Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
• 2. Design and develop efficient and reliable etl processes for large datasets.
• 3. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
• 4. Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
• 5. Implement best practices for data security, governance, and compliance.
• 6. Provide technical guidance, mentoring, and support to junior team members.
• 7. Stay uptodate with the latest trends and technologies in data engineering and analytics.

Skill Requirements

• 1. Proficiency in azure data factory (adf) and azure databricks for data integration and processing.
• 2. Strong skills in writing complex sql queries for data manipulation and analysis.
• 3. Experience with oracle pl/sql for database development and management.
• 4. Proficient in python programming language for automation and scripting tasks.
• 5. Solid understanding of data warehousing concepts, etl processes, and data modeling.
• 6. Ability to work in a fast paced environment and manage multiple priorities effectively.
• 7. Excellent problem-solving skills and attention to detail.
• 8. Strong communication and interpersonal skills for effective collaboration with team members and stakeholders.

Other Requirements

• 1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.