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Azure Senior Data Lead (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
Design and develop efficient and reliable etl processes for large datasets.
Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
From the employer’s posting
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.
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.
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
- Reposted
- once since Nov 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
HCL Technologies is hiring
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Oracle
Where the posting names them
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
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. 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.
Other Requirements 1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.
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.
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.
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.
Your next step
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
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Has HCL Technologies posted this job before?
Yes. We’ve followed 11 other Azure Senior Data Lead (IN) jobs there since November 2026. All 11 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About HCL Technologies
- People
- About 20,206 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as HCLTECH.NS.
- H-1B visas
- 754 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 120 people. The latest was filed March 27, 2026.State WARN notices
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
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.
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.
Source details
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- Pay
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- Location & working pattern
India
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