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Design and develop Snowflake data models and pipelines for business requirements
Write complex SQL for data extraction, transformation, and loading
Develop and maintain Python scripts for automation and data processing
Troubleshoot and debug code to maintain performance and data accuracy
Design and develop snowflake data models and pipelines to support business requirements
Write complex sql queries for data extraction, transformation, and loading processes
Develop and maintain python scripts for automation and data processing tasks
Troubleshoot and debug code to maintain system performance and data accuracy
Proficiency in snowflake data warehousing platform
Strong sql querying skills for data extraction and manipulation
Experience in python programming for developing scripts and automation
Understanding of data modeling concepts and etl processes
SnowPro Core Certification in Snowflake is preferred but not mandatory
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
Job Summary The Senior Developer at HCL will be responsible for developing solutions using Snowflake, SQL, and Python. The primary objective of this role is to implement, and maintain efficient and reliable code to support business applications and data needs. Key Responsibilities
2. Write complex sql queries for data extraction, transformation, and loading processes 3. Develop and maintain python scripts for automation and data processing tasks 4. Collaborate within team to ensure seamless integration of developed solutions
5. Troubleshoot and debug code to maintain system performance and data accuracy 6. Stay updated on industry best practices and trends in snowflake, sql, and python technologies Skill Requirements
2. Strong sql querying skills for data extraction and manipulation 3. Experience in python programming for developing scripts and automation 4. Understanding of data modeling concepts and etl processes
1. Design and develop snowflake data models and pipelines to support business requirements 2. Write complex sql queries for data extraction, transformation, and loading processes 3. Develop and maintain python scripts for automation and data processing tasks
1. Proficiency in snowflake data warehousing platform 2. Strong sql querying skills for data extraction and manipulation 3. Experience in python programming for developing scripts and automation
Key Responsibilities 1. Design and develop snowflake data models and pipelines to support business requirements 2. Write complex sql queries for data extraction, transformation, and loading processes
Skill Requirements 1. Proficiency in snowflake data warehousing platform 2. Strong sql querying skills for data extraction and manipulation
Other Requirements 1.SnowPro Core Certification in Snowflake is preferred but not mandatory
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
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Yes. We’ve followed 8 other Snowflake Senior Data Engineer (IN) jobs there since November 2026. All 8 are still up.
Large employers often post one title for several teams, so these can be separate openings.
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.
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.
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.
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India
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