Snowflake Engineer Job at NTT DATA (Bangalore)

Informatica IICS/PowerCenter Engineer (Snowflake & ETL)

We are seeking an experienced Senior Data Engineer to join our team. The ideal c...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

8+ years of experience with Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS)
8+ years of experience in ETL development and data integration projects
8+ years of experience with Snowflake and advanced SQL development
Strong experience with data warehousing and dimensional data modeling
Experience integrating data from Oracle, SQL Server, Excel, Access, and PDF sources
Strong analytical, problem-solving, and system analysis skills
Experience creating technical documentation, process flows, and data models
Ability to deliver scalable software and data platforms across enterprise environments
Experience following software development best practices and coding standards

Job Responsibility

Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter and IICS
Acquire, integrate, and transform data from multiple sources including Oracle, SQL Server, Excel, Access, and PDF files
Develop and optimize complex Snowflake SQL scripts, views, and data models
Support Tableau and business intelligence reporting initiatives through efficient data integration
Collaborate with architects, analysts, and stakeholders to design scalable data solutions
Perform data validation, testing, and quality assurance activities
Create and maintain technical documentation, data mappings, and process diagrams
Participate in Agile sprint planning, standups, reviews, and retrospectives
Develop automation solutions to improve data processing efficiency and reliability
Assist with troubleshooting, performance tuning, and production support activities

Fulltime

Sr Data Quality & Observability Engineer (Snowflake)

Lamb Weston is continuing to modernize its enterprise data ecosystem to support ...

Location

United States , Eagle

Salary:

117060.00 - 175600.00 USD / Year

Lamb Weston

Expiration Date

July 27, 2026

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent experience
5+ years of experience in data analysis, data quality, or analytics engineering roles
Strong SQL skills and experience working with large, complex datasets
Hands-on data quality experience, including implementing data quality logic using SQL and data functions (e.g., window functions, conditional logic, string/date functions, aggregations, table functions/CTEs)
Demonstrated experience with data profiling, data validation, and data quality frameworks
Experience with Git-based version control, code review practices, and deploying changes through SDLC/CI-CD processes
Experience working in SAP data environments (ECC, S/4HANA, BW, or HANA)
Business Analyst skills, including requirements gathering, documentation, and stakeholder facilitation
Familiarity with cloud data platforms such as Snowflake and AWS preferred
Understanding of data governance, metadata, and lineage concepts

Job Responsibility

Design, implement, and maintain data quality rules, checks, and controls across enterprise data assets
Perform data profiling, root cause analysis, and anomaly detection across SAP and non-SAP data sources
Partner with business stakeholders to understand data quality issues, business impacts, and remediation priorities
Translate business requirements into measurable data quality rules and thresholds
Develop and maintain data quality frameworks, including reusable SQL patterns, UDFs, stored procedures
Implement automated scheduling and orchestration of data quality checks using Snowflake-native capabilities (e.g., tasks, streams) and/or pipeline orchestration tools (ie: Informatica)
Implement data quality monitoring and observability scorecards, and reporting for key metadata domains
Own and evolve enterprise data quality KPIs/scorecards, including standardized definitions, thresholds, and executive-ready reporting across domains
Analyze data discrepancies and ensure reconciliation back to systems of record
Lead issue management workflows, including defect triage, prioritization, root cause documentation, corrective action validation, and prevention recommendations

What we offer

Health Insurance Benefits - Medical, Dental, Vision
Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
Well-being programs including companywide events and a wellness incentive program
Paid Time Off
Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
Family-Friendly Employee events
Employee Assistance Program services – mental health and other concierge type services

Fulltime

Data Engineer - Snowflake

Orbis are partnering with a global Investment Management firm building out their...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years' commercial experience in Data Engineering, ideally with a background in Financial Services
Strong hands-on commercial experience with Snowflake (ideally experience with Snowpark and SnowSQL)
Strong Data Warehouse development experience (ideally Star Schema)
Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing

Job Responsibility

Designing and developing the Snowflake-based data warehouse, leveraging Cortex to enable advanced AI/ML use cases
Integrating platforms and third-party data sources into the firm's architecture, ensuring clean, reliable and well-governed data flows
Building and optimising data pipelines, designing robust data frameworks, improving data quality, and enabling downstream analytics and reporting

Fulltime

Data Engineer (Snowflake)

We're looking for a passionate Data Engineer who's excited to grow, collaborate,...

Location

United Kingdom , Erskine

Salary:

Not provided

DXC Technology

Expiration Date

Until further notice

Requirements

A bachelor's degree in a relevant field—or a combination of education, training, and experience that demonstrates your readiness for the role
A solid background in data engineering, with hands-on experience building or maintaining data systems, pipelines, or tools
Familiarity with data engineering tools, platforms, or languages and an eagerness to continue expanding your skills
A growth mindset and a genuine interest in staying current with new technologies and best practices

Fulltime

Senior Data & Analytics Engineer - Snowflake & Power BI

We are looking for a skilled Data Engineer with strong experience in Databricks ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Proven experience working as a Data Engineer, Analytics Engineer, or hybrid role
Strong hands-on expertise with Snowflake
Advanced SQL skills with a strong analytical focus
Strong hands-on experience with Power BI (modelling, DAX, Power BI Service)
Experience designing data models specifically for analytics and BI
Ability to work end-to-end across data ingestion, transformation and visualisation
Strong problem-solving skills and attention to data quality
Experience working in cloud data platforms (Azure preferred)
Familiarity with data governance, lineage and documentation concepts
Experience supporting analytics at scale or across multiple teams

Job Responsibility

Design and build scalable Snowflake-based data architectures
Develop and maintain robust data pipelines for ingestion, transformation and aggregation
Write high-quality, performant SQL tailored for analytical workloads
Engineer analytics-ready data models optimised for BI and reporting use cases
Optimise Snowflake performance, cost efficiency and data organisation
Implement data quality checks, monitoring and basic governance controls
Build curated datasets and analytics layers sourced from Snowflake
Design data structures that simplify and accelerate Power BI development
Ensure consistent definitions, metrics and calculations across analytics outputs
Collaborate with stakeholders to translate reporting requirements into data models

What we offer

Smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Our projects have different working hours to suit your needs
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

Senior Data Engineer - Snowflake

We are looking for an experienced Data Engineer to join our data platform team t...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong experience with Apache Spark (PySpark / Scala)
Experience with Spark Refiner or similar transformation frameworks
Hands-on expertise with AWS Data Ecosystem, including: S3, Glue, EMR, Lambda, Step Functions, IAM
Experience building large-scale ETL/ELT pipelines
Strong knowledge of Snowflake, including: Snowpipe, Data loading, Performance optimization
Excellent SQL and data modelling skills
Understanding of Data Lake, Lakehouse architectures, and modern data storage formats
Knowledge of data migration strategies and validation techniques

Job Responsibility

Design and implement data pipelines to migrate data from existing Data Lake to Lakehouse architecture
Develop and optimize Spark-based ETL/ELT pipelines using Spark Refiner or similar transformation frameworks
Build scalable data processing workflows using AWS services such as S3, Glue, EMR, Lambda, and Step Functions
Integrate and manage data ingestion into Snowflake for analytics and downstream consumption
Perform data modelling for Lakehouse architecture (Bronze, Silver, Gold layers)
Ensure data quality, governance, and lineage across the migration process
Optimize performance of Spark jobs and Snowflake queries for large-scale datasets
Work closely with data architects, analytics teams, and business stakeholders to ensure reliable data delivery
Implement CI/CD pipelines for data engineering workflows
Support data validation, reconciliation, and testing during migration

Fulltime

Data Engineer – Snowflake

We are looking for a highly skilled Data Engineer with deep expertise in Snowfla...

Location

India , Hyderabad

Salary:

Not provided

Helical IT Solutions Pvt Ltd

Expiration Date

Until further notice

Requirements

Strong, hands-on experience in Snowflake (minimum 2–3 years mandatory)
Snowflake architecture & internals
Snowflake SQL
Snowpipe, Streams, Tasks
Strong experience in SQL (complex queries, optimization, tuning)
Proven experience in building ETL/Data Pipelines
Hands-on experience with Azure Data Factory (ADF)
Solid understanding of Data Warehousing & Data Modeling
BE / B.Tech / MS in Computer Science or related field
3+ years of experience with at least 2+ years in Snowflake

Job Responsibility

Design, build, and optimize high-performance data pipelines in Snowflake
Implement and manage Snowflake architecture (schemas, warehouses, stages, tasks, streams)
Develop advanced SQL-based transformations within Snowflake
Build and orchestrate ETL pipelines using Azure Data Factory (ADF)
Integrate Snowflake with Azure Databricks / PySpark for large-scale data processing
Perform query optimization, cost optimization, and performance tuning in Snowflake
Implement data modeling techniques (Star/Snowflake schema) specifically on Snowflake
Handle data ingestion (batch & incremental loads) into Snowflake
Ensure data quality, governance, and security best practices
Work closely with stakeholders to translate business requirements into data solutions

Fulltime

Lead SnowFlake Engineer

The BI Developer (Power BI) role requires a skilled professional with at least 3...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong SQL skills (complex queries, performance tuning)
Proficiency in Python for data processing
Experience with ETL/ELT tool DBT
Exposure to streaming/CDC (Fivetran, Kafka, Debezium)
Solid understanding of data warehousing concepts (Kimball, Data Vault, normalization)
Familiarity with cloud platforms (Azure preferred
AWS/GCP acceptable)
Knowledge of data governance, security, and compliance (GDPR)
Excellent problem-solving and communication skills

Job Responsibility

Snowflake Development: Build and optimize Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors)
ETL/ELT Pipelines: Develop and maintain robust data pipelines using DBT
Data Modeling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics
Performance Tuning: Optimize queries, manage clustering, caching, and warehouse sizing for cost and speed
Data Quality: Implement testing frameworks (dbt tests, Great Expectations) and ensure data accuracy and freshness
Security & Governance: Apply RBAC, masking policies, and comply with data governance standards
Collaboration: Work with BI teams to ensure semantic alignment and support self-service analytics
Documentation: Maintain clear technical documentation for pipelines, models, and processes

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Snowflake Engineer

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