Senior Snowflake Engineer Job at NTT DATA (Bangalore)

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

Senior Data Engineer (Snowflake)

At LeverX, we have had the privilege of delivering over 1,500 projects for vario...

Location

Poland

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in Data Engineering
Strong expertise in Snowflake, including architecture, advanced SQL, Snowpark (Python), and data governance (RBAC, masking policies)
Solid experience with dbt (models, tests, snapshots, incremental strategies, CI/CD)
Experience with data orchestration tools (Airflow, Dagster, Prefect) or Snowflake Tasks and Streams
Proven ability to design and maintain scalable Data Warehouse or Data Lakehouse architectures
Experience optimizing costs by managing Snowflake credits, warehouse configurations, and storage usage
Strong Python skills for data transformation, automation, and scripting
English B2+

Job Responsibility

Design and build scalable data pipelines in Snowflake using SQL, Snowpark (Python), and Stored Procedures
Own Snowflake security and governance, including RBAC, dynamic data masking, row access policies, and object tagging
Develop and optimize data ingestion using Snowpipe, COPY INTO, and external stages
Optimize performance through virtual warehouse sizing, query profiling, clustering, and search optimization
Implement data transformations and semantic layers using dbt, applying medallion or Data Vault modeling patterns
Build reliable orchestration and CI/CD for data pipelines using Snowflake Tasks & Streams, external orchestrators, and infrastructure as code
Collaborate with and mentor engineers, partner with analytics and ML teams, and drive continuous improvements across the data platform

What we offer

Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay with the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

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

Data Engineer Senior Consultant

The Data Engineer will play a crucial role in migrating data from on-prem DataLa...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
Ability to troubleshoot (SQL) and basic scripting experience
Professional proficiency in Python or Java
Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience
Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2)
Schema Management: Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies
Performance Optimization: Advanced knowledge of data partitioning and clustering
Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys

Job Responsibility

Perform end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
Pipeline Migration: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity
Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners to ensure migrated assets meet business requirements
Consumption Pattern Migration: Code Conversion - Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg
Usage analysis: Understand usage patterns to deliver the required data products
Data Reconciliation & Quality: Work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows
Work with other internal data management platform and have an aptitude for learning new workflows and language constructs as necessary

Fulltime

Digital Software Engineer Senior Analyst - Assistant Vice President

Location

United States , Tampa

Salary:

96960.00 - 145440.00 USD / Year

Citi

Expiration Date

August 31, 2026

Requirements

5-8 years experience with PL/SQL, Oracle and integration with Java applications
Exposure to architecture experience in building horizontally scalable, highly available, highly resilient, and low latency applications
Experience with data engineering techniques like building data lakes and data warehouses, data mesh, data pipelines, ETL vs. ELT
Exposure to Cloud infrastructure both on-premise and public cloud (i.e., OpenShift, AWS, Snowflake, Databricks)
Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, CircleCI, Cloudbees Jenkins, etc.)
Exposure to API Management tools
Exposure to Infrastructure as Code tools (i.e., IntelliJ, Cloudformation, PiSpark, etc.)
Experience mentoring junior developers

Job Responsibility

Accountable for executing and driving mid-size feature application design and development efforts to completion, serving as a development lead on medium-scale projects and supporting the execution of larger efforts
Proficient at operating with considerable autonomy and discretion as you will significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles
Sought after due to ability to analyze and troubleshoot coding, application performance and design challenges
Capable of research in root cause of development and performance concerns as well as the resolution of defects
Have a deep understanding of the technical requirements for the solutions being built
Understand engineering needs including those required to build, maintain, and operate the system through all phases of its life
Proficient in information modeling, data structures and algorithms
Understand maintenance characteristics, runtime properties and dependencies that exist in support of your system’s software
Demonstrate an advanced understanding of supported main system flows and possess a comprehensive understanding of how the system and others collectively integrate to contribute towards achieving business objectives
Participate in design discussions as a Development Lead and as such will play the part of a key decision maker in driving design decisions

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
planned time off (vacation)
unplanned time off (sick leave)
paid holidays

Fulltime

Data Engineer Senior Consultant

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience in cloud-based data engineering
Specializing in Snowflake and AWS ecosystem

Job Responsibility

Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue, Snowflake, and SQL-based frameworks
Build and manage data ingestion frameworks using APIs, batch, and streaming mechanisms
Design efficient data transformation logic using SQL / PL-SQL and Snowflake capabilities
Implement incremental and real-time data processing pipelines
Develop and maintain cloud-native data platforms leveraging AWS S3, Glue, Redshift/Snowflake integration
Architect and optimize data lakes and data warehouses
Ensure high performance, cost efficiency, and scalability of data solutions
Design, build, and optimize Snowflake data warehouse solutions
Implement data modeling, partitioning, clustering, and performance tuning
Work with secure data sharing, governance, and data optimization techniques

ML Engineer Senior - GenAI Solutions

As a Senior Machine Learning Engineer at NTT DATA, you will work alongside exper...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

At least 5 years of production experience working in Data Science or Software Engineering
Deep knowledge of math, probability, statistics and algorithms
At least 6/12 months of experience in Generative AI deployment and underlying architecture handling
Vector Database knowledge is well appreciated
Understanding of data structures, data modeling and software architecture
Fluent in a at least two mainstream programming language (Python, Scala, Java, C++)
Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers
Strong knowledge of Spark, Databricks is a strong plus
Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus
Deep knowledge with machine learning frameworks (such as Keras or PyTorch)

Job Responsibility

Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on-premise GenAI architectures and MLOps
Leverage a strong mathematical background
Work on classification, information retrieval, clustering and optimization problems
Establish scalable, efficient and automated processes for large-scale data analysis
Contribute to model development, model validation and model implementation
Identify business opportunities
Design and create new data pipelines from scratch, from experiments to production deployment
Manage multiple projects
Lead ML Engineers
Connect with stakeholders

Fulltime

Senior Snowflake Architect

We are seeking a Senior Snowflake Architect to design, build, and operate our Sn...

Location

United States , Morristown; Remote

Salary:

139000.00 - 186000.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

8–10+ years of experience in data engineering, data architecture, or data platform roles
4–5+ years of hands-on Snowflake experience spanning architecture and administration
Strong expertise in Snowflake architecture, performance tuning, and cost optimization
Strong expertise in data warehousing concepts and dimensional modeling
Strong expertise in advanced SQL
Python experience preferred
Experience designing and operating ELT/ETL pipelines
Working knowledge of Snowflake security and governance features
Scripting and automation experience (e.g., Bash, Terraform, or similar tools)
Hands-on experience with CI/CD pipelines and GitHub

Job Responsibility

Design and implement scalable Snowflake architectures supporting data warehouse, data lake, and data sharing use cases
Lead Snowflake solution design, including dimensional and analytical data models, batch and near real-time ELT/ETL pipelines, data integration and Snowflake Data Sharing, end-to-end data layers (Bronze / Silver / Gold), semantic views, and analytics-ready datasets, advanced Snowflake capabilities including Cortex AI and data agents
Define and implement governance features such as Snowflake Horizon, masking, and encryption
Collaborate with data engineers, analytics teams, and product partners to translate business requirements into scalable technical solutions
Evaluate new Snowflake features and recommend adoption to improve performance, scalability, security, and cost efficiency
Enable advanced analytics use cases in Snowflake, including predictive modeling and anomaly detection using Cortex AI
Own day-to-day administration of Snowflake environments across development, test, and production
Manage Snowflake configuration including warehouses, databases, schemas, users, roles, and resource monitors
Monitor and optimize platform performance, availability, and cost usage
Implement and maintain Snowflake security controls, including role-based access control (RBAC), masking and row access policies, governance and monitoring features

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

Fulltime

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Senior Snowflake Engineer

Job Description

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