Senior Snowflake Data Engineer
At a glance
Senior Data Engineering role at Dxctechnology. Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Snowflake and AWS pipelines for data ingestion, transformation and integration
- Create Snowflake data models, then improve their performance and cost efficiency
- Set up CI/CD workflows and automate DevOps tasks and infrastructure management
- Maintain data security, governance, monitoring and dependable platform operations
- Coordinate with architects, analysts and business stakeholders to deliver data platforms that scale
What you bring
- At least five years of data engineering experience
- Hands-on skills in Snowflake, AWS, SQL and data modelling
- Experience with Spark or PySpark, dbt and Apache Airflow
- DevOps experience with Git, a listed CI/CD platform, Terraform and infrastructure-as-code practices
- A solid understanding of data warehouses, data lakes and cloud data architecture
Who this fits
This is a hands-on senior engineering role centered on Snowflake, AWS pipelines and DevOps. The listed work locations are Hyderabad, Bangalore, Chennai, Kolkata, Noida, Gurgaon, Pune, Indore and Mumbai. The work model puts priority on in-person collaboration while allowing flexibility.
From the employer
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.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.