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Technical Specialist - Snowflake, Azure Data Factory (ADF), Databricks (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
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.
- SQL
- Azure
- Snowflake
Where the posting names them
Skill Requirements 1. In-depth knowledge and experience with snowflake, including data warehousing, virtual warehouses, and sql querying. 2. Proficiency in azure data factory (adf) for designing and implementing data integration solutions.
Job Summary The Technical Specialist will play a crucial role in managing and optimizing Snowflake, Azure Data Factory (ADF), and Data Bricks environments within the organization. The primary responsibilities include overseeing the architecture, deployment, and maintenance of these platforms to ensure efficient data processing and analysis. Key Responsibilities
Key Responsibilities 1. Designing, developing, and implementing scalable and reliable solutions using snowflake, azure data factory (adf), and data bricks. 2. Managing data pipelines, etl processes, data lakes, and warehouses within snowflake and azure data factory.
1. Designing, developing, and implementing scalable and reliable solutions using snowflake, azure data factory (adf), and data bricks. 2. Managing data pipelines, etl processes, data lakes, and warehouses within snowflake and azure data factory. 3. Collaborating with cross functional teams to gather business requirements and translate them into technical solutions.
3. Collaborating with cross functional teams to gather business requirements and translate them into technical solutions. 4. Troubleshooting and resolving any issues related to snowflake, azure data factory (adf), and data bricks performance and functionality. 5. Implementing security measures and access controls to protect sensitive data stored in these platforms.
1. In-depth knowledge and experience with snowflake, including data warehousing, virtual warehouses, and sql querying. 2. Proficiency in azure data factory (adf) for designing and implementing data integration solutions. 3. Handson experience with data bricks for data processing, analytics, and machine learning tasks.
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 one other Technical Specialist - Snowflake, Azure Data Factory (ADF), Databricks (IN) job there since November 2026. It is still up.
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 play a crucial role in managing and optimizing Snowflake, Azure Data Factory (ADF), and Data Bricks environments within the organization. The primary responsibilities include overseeing the architecture, deployment, and maintenance of these platforms to ensure efficient data processing and analysis.
Key Responsibilities
1. Designing, developing, and implementing scalable and reliable solutions using snowflake, azure data factory (adf), and data bricks.
2. Managing data pipelines, etl processes, data lakes, and warehouses within snowflake and azure data factory.
3. Collaborating with cross functional teams to gather business requirements and translate them into technical solutions.
4. Troubleshooting and resolving any issues related to snowflake, azure data factory (adf), and data bricks performance and functionality.
5. Implementing security measures and access controls to protect sensitive data stored in these platforms.
6. Monitoring system performance, identifying bottlenecks, and implementing optimizations to improve overall efficiency.
2. Managing data pipelines, etl processes, data lakes, and warehouses within snowflake and azure data factory.
3. Collaborating with cross functional teams to gather business requirements and translate them into technical solutions.
4. Troubleshooting and resolving any issues related to snowflake, azure data factory (adf), and data bricks performance and functionality.
5. Implementing security measures and access controls to protect sensitive data stored in these platforms.
6. Monitoring system performance, identifying bottlenecks, and implementing optimizations to improve overall efficiency.
Skill Requirements
1. In-depth knowledge and experience with snowflake, including data warehousing, virtual warehouses, and sql querying.
2. Proficiency in azure data factory (adf) for designing and implementing data integration solutions.
3. Handson experience with data bricks for data processing, analytics, and machine learning tasks.
4. Strong understanding of data modeling, etl processes, and data lakes architecture.
5. Excellent problem-solving skills and the ability to work effectively in a team environment.
6. Good communication skills to collaborate with stakeholders and translate business requirements into technical solutions.
2. Proficiency in azure data factory (adf) for designing and implementing data integration solutions.
3. Handson experience with data bricks for data processing, analytics, and machine learning tasks.
4. Strong understanding of data modeling, etl processes, and data lakes architecture.
5. Excellent problem-solving skills and the ability to work effectively in a team environment.
6. Good communication skills to collaborate with stakeholders and translate business requirements into technical solutions.
Other Requirements
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Source details
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- Pay
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- Location & working pattern
India
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- Work authorization
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