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dataroles

Snowflake Data Engineer 2

Dxctechnology Open
Bangalore Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Dxctechnology. Bangalore · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationBangalore
EmploymentFull-time
PostedSep 24, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Create and maintain pipelines on Snowflake and AWS for bringing data in, reshaping it and combining sources
  • Refine Snowflake models and improve how they run and use cloud resources
  • Set up automated software delivery and infrastructure management using CI/CD and IaC
  • Maintain data safeguards, oversight and monitoring to support dependable operations
  • Coordinate with architects, analysts and business partners on scalable data work

What you bring

  • At least five years working in data engineering
  • Hands-on skill with Snowflake, AWS, SQL, data modelling, Spark or PySpark, dbt and Airflow
  • DevOps practice covering CI/CD, Terraform or other IaC, monitoring and automation
  • Knowledge of data warehouses, data lakes and cloud data architecture

Who this fits

This mid-level role suits a data engineer comfortable building with Snowflake and AWS and handling DevOps automation. The position is based in Bangalore, with in-person collaboration prioritized alongside 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.

Opportunity

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 work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.