Senior Snowflake Data Engineer
Ind - KA - Bangalore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild ETL/ELT solutions for data ingestion, transformation and integration
Develop and optimise Snowflake data models, performance and cost efficiency
Implement and maintain CI/CD pipelines and DevOps automation
Manage infrastructure using Infrastructure as Code practices
From the employer’s posting
Build ETL/ELT solutions for data ingestion, transformation, and integration.
Develop and optimise Snowflake data models, performance, and cost efficiency.
Implement and maintain CI/CD pipelines and DevOps automation.
Manage infrastructure using Infrastructure as Code (IaC) practices.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in Data Engineering.
- Strong understanding of Data Warehousing, Data Lakes, and Cloud Data Architecture.
Qualification wording
5+ years of experience in Data Engineering.
Strong understanding of Data Warehousing, Data Lakes, and Cloud Data Architecture.
Tools in this posting
- SQL
- AWS
- Azure
- dbt
- Redshift
- S3
- Snowflake
- Spark
- Terraform
- Airflow
- PySpark
Source — Tool mentions in context
- AWS (S3, Glue, Lambda, IAM, Redshift) - SQL & Data Modelling - Spark / PySpark
Senior Snowflake Data Engineer Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai We are looking for a hands-on Senior Snowflake Data Engineer with strong experience in AWS and DevOps to build, optimise, and support scalable cloud-based data platforms. The ideal candidate will have expertise in Snowflake development, data pipeline engineering, infrastructure automation, and CI/CD implementation. Key Responsibilities
Key Responsibilities - Design, develop, and maintain data pipelines using Snowflake and AWS. - Build ETL/ELT solutions for data ingestion, transformation, and integration.
- Snowflake - AWS (S3, Glue, Lambda, IAM, Redshift) - SQL & Data Modelling
- Git - Jenkins / GitHub Actions / Azure DevOps - Terraform
- Spark / PySpark - dbt - Apache Airflow
Job Description: Senior Snowflake Data Engineer Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai We are looking for a hands-on Senior Snowflake Data Engineer with strong experience in AWS and DevOps to build, optimise, and support scalable cloud-based data platforms. The ideal candidate will have expertise in Snowflake development, data pipeline engineering, infrastructure automation, and CI/CD implementation.
- Build ETL/ELT solutions for data ingestion, transformation, and integration. - Develop and optimise Snowflake data models, performance, and cost efficiency. - Implement and maintain CI/CD pipelines and DevOps automation.
- Strong hands-on experience with: - Snowflake - AWS (S3, Glue, Lambda, IAM, Redshift)
- SQL & Data Modelling - Spark / PySpark - dbt
- Jenkins / GitHub Actions / Azure DevOps - Terraform - CI/CD Pipelines
- dbt - Apache Airflow - Hands-on DevOps experience with:
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 31, 2026 · 58 days ago
- Recorded sightings
- 140
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on dxctechnology.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
Job Description:
Senior Snowflake Data Engineer
Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai
We are looking for a hands-on Senior Snowflake Data Engineer with strong experience in AWS and DevOps to build, optimise, and support scalable cloud-based data platforms. The ideal candidate will have expertise in Snowflake development, data pipeline engineering, infrastructure automation, and CI/CD implementation.
Key Responsibilities
- Design, develop, and maintain data pipelines using Snowflake and AWS.
- Build ETL/ELT solutions for data ingestion, transformation, and integration.
- Develop and optimise Snowflake data models, performance, and cost efficiency.
- Implement and maintain CI/CD pipelines and DevOps automation.
- Manage infrastructure using Infrastructure as Code (IaC) practices.
- Ensure data security, governance, monitoring, and operational excellence.
- Collaborate with architects, analysts, and business stakeholders to deliver scalable data solutions.
Required Skills
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with:
- Snowflake
- AWS (S3, Glue, Lambda, IAM, Redshift)
- SQL & Data Modelling
- Spark / PySpark
- dbt
- Apache Airflow
- Hands-on DevOps experience with:
- Git
- Jenkins / GitHub Actions / Azure DevOps
- Terraform
- CI/CD Pipelines
- Infrastructure as Code (IaC)
- Monitoring & Automation
- Strong understanding of Data Warehousing, Data Lakes, and Cloud Data Architecture.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
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Ind - KA - Bangalore
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