Snowflake Data Engineer 1
At a glance
Mid-level 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 that bring data in, transform it and connect it across systems
- Create Snowflake models and tune them for speed and cost, while supporting reliable data operations
- Automate delivery and infrastructure through CI/CD, DevOps practices and Infrastructure as Code
- Apply security, governance and monitoring, and work with architects, analysts and business stakeholders on data solutions
What you bring
- At least five years working in data engineering
- Hands-on ability with Snowflake, AWS, SQL and data modeling, plus Spark or PySpark and dbt
- Experience using Airflow and DevOps tools such as Git, Jenkins or another listed platform
- A solid grasp of data warehouses, data lakes and cloud data architecture
Who this fits
This mid-level role suits a data engineer comfortable building cloud data pipelines and handling both data modeling and DevOps work. The role is based in Bangalore, India, and the work model prioritizes in-person collaboration while allowing flexibility.
From the employer
Job Description:
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.
Preferred Skills
- SnowPro Certification.
- AWS Certification.
- Experience with Kafka, Databricks, and Data Governance frameworks.
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.
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