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Azure Data Technical Specialist (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, develop and implement data pipelines in Azure Data Factory
Use Azure Databricks for data transformations and analytics
Write and optimize SQL queries to extract and analyze data
Develop and maintain Python scripts for data processing and automation
Monitor pipeline performance and troubleshoot data accuracy issues
From the employer’s posting
Design, develop, and implement data pipelines using azure data factory (adf)
Utilize azure databricks for data transformations and analytics
Write and optimize sql queries to extract, manipulate, and analyze data
Develop and maintain python scripts for data processing and automation tasks
Monitor data pipeline performance and troubleshoot issues
What you’ll bring
All qualificationsCore experience
- Proficiency in Azure Data Factory for data integration and orchestration
- Experience with Azure Databricks for data engineering and analytics
- Strong SQL skills for querying and manipulation
- Proficient in Python programming for data processing and automation
- Strong analytical and problem-solving skills
Preferred experience
- Azure Data Factory, Databricks, SQL or Python certifications
Qualification wording
Proficiency in azure data factory (adf) for data integration and orchestration.
Experience working with azure databricks for data engineering and analytics.
Strong sql skills for data querying and manipulation.
Proficient in python programming for data processing and automation.
Strong analytical and problem-solving skills with a high attention to detail.
Azure Data Factory, Azure Databricks, SQL, or Python certifications are a plus.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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
Where the posting names them
Job Summary The Technical Specialist will be responsible for overseeing the Azure Data Factory (ADF), Azure Databricks, SQL, Python processes. They will play a key role in designing, developing, and maintaining data pipelines and ETL processes, leveraging the Azure cloud platform and related technologies to ensure optimized data transformation and storage. Key Responsibilities
3. Write and optimize sql queries to extract, manipulate, and analyze data from multiple sources. 4. Develop and maintain python scripts for data processing and automation tasks. 5. Collaborate with cross functional teams to understand data requirements and ensure data solutions meet business needs.
6. Monitor data pipeline performance and troubleshoot issues to ensure data accuracy and reliability. 7. Stay updated on industry trends and best practices related to azure data factory, azure databricks, sql, and python. Skill Requirements
3. Strong sql skills for data querying and manipulation. 4. Proficient in python programming for data processing and automation. 5. Strong analytical and problem-solving skills with a high attention to detail.
Other Requirements 1.Azure Data Factory, Azure Databricks, SQL, or Python certifications are a plus.
2. Utilize azure databricks for data transformations and analytics to derive valuable insights from data. 3. Write and optimize sql queries to extract, manipulate, and analyze data from multiple sources. 4. Develop and maintain python scripts for data processing and automation tasks.
2. Experience working with azure databricks for data engineering and analytics. 3. Strong sql skills for data querying and manipulation. 4. Proficient in python programming for data processing and automation.
Key Responsibilities 1. Design, develop, and implement data pipelines using azure data factory (adf) to move data between various sources and data warehouses. 2. Utilize azure databricks for data transformations and analytics to derive valuable insights from data.
1. Design, develop, and implement data pipelines using azure data factory (adf) to move data between various sources and data warehouses. 2. Utilize azure databricks for data transformations and analytics to derive valuable insights from data. 3. Write and optimize sql queries to extract, manipulate, and analyze data from multiple sources.
Skill Requirements 1. Proficiency in azure data factory (adf) for data integration and orchestration. 2. Experience working with azure databricks for data engineering and analytics.
1. Proficiency in azure data factory (adf) for data integration and orchestration. 2. Experience working with azure databricks for data engineering and analytics. 3. Strong sql skills for data querying and manipulation.
Your next step
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
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Already applied? Track this application
Has HCL Technologies posted this job before?
Yes. We’ve followed 13 other Azure Data Technical Specialist (IN) jobs there since November 2026. All 13 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 Technical Specialist will be responsible for overseeing the Azure Data Factory (ADF), Azure Databricks, SQL, Python processes. They will play a key role in designing, developing, and maintaining data pipelines and ETL processes, leveraging the Azure cloud platform and related technologies to ensure optimized data transformation and storage.
Key Responsibilities
1. Design, develop, and implement data pipelines using azure data factory (adf) to move data between various sources and data warehouses.
2. Utilize azure databricks for data transformations and analytics to derive valuable insights from data.
3. Write and optimize sql queries to extract, manipulate, and analyze data from multiple sources.
4. Develop and maintain python scripts for data processing and automation tasks.
5. Collaborate with cross functional teams to understand data requirements and ensure data solutions meet business needs.
6. Monitor data pipeline performance and troubleshoot issues to ensure data accuracy and reliability.
7. Stay updated on industry trends and best practices related to azure data factory, azure databricks, sql, and python.
2. Utilize azure databricks for data transformations and analytics to derive valuable insights from data.
3. Write and optimize sql queries to extract, manipulate, and analyze data from multiple sources.
4. Develop and maintain python scripts for data processing and automation tasks.
5. Collaborate with cross functional teams to understand data requirements and ensure data solutions meet business needs.
6. Monitor data pipeline performance and troubleshoot issues to ensure data accuracy and reliability.
7. Stay updated on industry trends and best practices related to azure data factory, azure databricks, sql, and python.
Skill Requirements
1. Proficiency in azure data factory (adf) for data integration and orchestration.
2. Experience working with azure databricks for data engineering and analytics.
3. Strong sql skills for data querying and manipulation.
4. Proficient in python programming for data processing and automation.
5. Strong analytical and problem-solving skills with a high attention to detail.
6. Excellent communication and collaboration abilities to work effectively in a team environment.
7. Ability to adapt to changing priorities and handle multiple tasks simultaneously.
2. Experience working with azure databricks for data engineering and analytics.
3. Strong sql skills for data querying and manipulation.
4. Proficient in python programming for data processing and automation.
5. Strong analytical and problem-solving skills with a high attention to detail.
6. Excellent communication and collaboration abilities to work effectively in a team environment.
7. Ability to adapt to changing priorities and handle multiple tasks simultaneously.
Other Requirements
1.Azure Data Factory, Azure Databricks, SQL, or Python certifications are a plus.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.