Senior Technical Lead

About HCLTech

HCLTech is a global technology company, spread 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. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.

Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit

Azure Senior Data Lead with Azure Data Factory (ADF),Azure Databricks,SQL,Oracle PL/SQL,Python

Job Summary
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.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.
About HCLTech
HCLTech is a global technology company, spread 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. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit

Azure Senior Data Lead with Azure Data Factory (ADF),Azure Databricks,SQL,Oracle PL/SQL,Python

Job Summary
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.

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

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