Snowflake Data Engineer

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 5-8 yearsEducation: bachelorsSkills: ["Problem-solving","Analytical skills","Communication","Collaboration","Mentoring"]

Build and deliver high-performing Snowflake data pipelines and cloud-native data platforms for client-facing stakeholders. Own end-to-end work across ingestion, transformation, modeling, governance, and consumption, leveraging Snowflake features for performance and scaling. Apply ETL/ELT tools and strong SQL/Python automation, collaborate with architects and engineering teams, and contribute to reusable assets and technical leadership for the practice.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NTT
NTT
2 months ago

Snowflake Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and deliver high-performing Snowflake data pipelines and cloud-native data platforms for client-facing stakeholders. Own end-to-end work across ingestion, transformation, modeling, governance, and consumption, leveraging Snowflake features for performance and scaling. Apply ETL/ELT tools and strong SQL/Python automation, collaborate with architects and engineering teams, and contribute to reusable assets and technical leadership for the practice.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Deliver client-facing Snowflake data engineering solutions, partnering with solution architects and stakeholders.
  • •Develop and optimize scalable, secure data pipelines across ingestion, transformation, modeling, governance, and consumption.
  • •Apply deep Snowflake expertise (warehouses, Snowpark, data sharing, performance tuning) to meet client requirements.
  • •Use ETL/ELT tooling (e.g., dbt, Matillion, Talend) and automation via SQL/Python for data manipulation and delivery.
  • •Contribute to engineering best practices and help grow the practice with reusable assets, accelerators, and technical leadership.

Key Requirements

  • •Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, including 3+ years working with Snowflake.
  • •Strong experience developing data pipelines on Snowflake and cloud-native platforms.
  • •Expertise across the data lifecycle (ingestion, transformation, modeling, governance, and consumption).
  • •Strong SQL and Python skills (or equivalent) for data manipulation and automation.
  • •Proficiency with ETL/ELT tools such as DBT, Matillion, Talend (or equivalent) plus experience with version control and CI/CD.
  • •Technical expertise with Snowflake (warehouses, Snowpark, data sharing, performance tuning) and cloud platforms (AWS, Azure, GCP) is required.
  • •Knowledge of data modeling methodologies (star schemas, Data Vault, Kimball, Inmon) and data lake/distributed processing frameworks (Spark, Hadoop).
  • •Education: University degree required.
Experience:5-8 yearsData engineeringData warehousingData architectureCloudSnowflake
Education:Bachelor's in Computer Science, Data Engineering (preferred)
Skills:Problem-solvingAnalytical skillsCommunicationCollaborationMentoring
Certifications:SnowPro CoreSnowPro Advanced
Tech Stack:SnowflakeSnowparkSQLPythonETLELTDbtMatillionTalendAWSAzureGCPSparkHadoopGitHubBitbucketCI/CDData governanceData sharingData modeling

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn