NTT

1 week ago

Snowflake Data Engineer

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Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

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

Website LinkedIn

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NTT