Snowflake Software Developer Job at NTT DATA (Toronto)

Senior Software Developer - ETL

We are seeking a highly accomplished Senior Software Developer - ETL to lead the...

Location

Canada , North York

Salary:

Not provided

Randstad

Expiration Date

August 17, 2026

Requirements

10+ years of progressive professional experience translating complex system specifications into tested, working applications for large-scale, mission-critical environments
10+ years of verified hands-on experience designing and implementing Medallion Data Lakehouse architectures, utilizing tools such as Databricks (PySpark, SQL, Delta Live Tables), Delta Lake, and dbt
Demonstrated success constructing and automating enterprise ETL/ELT data pipelines using Azure Data Factory (ADF) and configuring job schedules
Mastery of relational database management systems (SQL Server, Synapse, PostgreSQL) and dimensional modeling alongside advanced SQL query optimization and replication tuning
Practical development experience manipulating Apache Spark distributed environments and working with storage formats including Parquet, ORC, and JSON
High proficiency navigating cloud ecosystems, specifically Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Event Hubs, and Azure Functions
Direct, practical experience implementing enterprise data access controls, cloud security models, data lineage tracking, and Unity Catalog data governance
Strong experience integrating front-end systems like Power BI (DAX, performance tuning) with cloud warehouses and data pipelines
Proven background applying continuous integration and automated deployment protocols via Azure DevOps or GitHub Actions
5+ years of explicit experience running gap analyses, assessing technical options for architecture issues, and delivering robust system integration designs

Job Responsibility

Design, implement, and maintain highly scalable Medallion Data Lakehouse architectures (Bronze, Silver, and Gold tiers) to capture, store, and process massive enterprise datasets
Build, automate, and tune complex ETL/ELT pipelines using data integration factories, orchestration workflows, and transformation tools to handle both structured and unstructured data streams
Develop data-driven logic and streaming frameworks utilizing distributed clusters, optimizing query execution, data indexing, partitioning schemes, and storage file formats
Design logical and physical dimensional data models, integrating disparate data sources into optimized star and snowflake schemas ready for downstream analytics
Investigate and resolve data loading exceptions, performing deep root-cause analysis to distinguish between software failures and source-data quality anomalies
Build and connect high-performance data models with cloud data warehouses, implementing advanced calculations and performance tuning to support seamless user reporting
Operationalize advanced cataloging engines and data governance frameworks, managing fine-grained data permissions, data lineage tracking, and role-based access controls (RBAC)
Implement automated deployment packages and release routines using continuous integration pipelines to manage the lifecycle of data platform infrastructure
Conduct detailed technical design evaluations, option analyses, and gap assessments for complex integration components to resolve architectural blockers
Produce and maintain comprehensive technical specifications, logical system models, metadata dictionaries, and operational deployment guides to support long-term environment maintenance

Fulltime

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
production experience with sqlmesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
hands‑on experience with databricks or snowflake, operating pipelines and warehouses in production environments
advanced sql skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
proficiency in python, especially for PySpark transformations, data validation, and pipeline automation
strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
experience with ci/cd for data, including automated testing, version control, and deployment pipelines

Job Responsibility

build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
own ci/cd for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
develop and integrate ml models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
design and maintain 300+ sql and python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore, Karachi, Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines

Job Responsibility

Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines

Job Responsibility

Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Principal Architect, Data Engineer - Pursuit and Capture

We are seeking a principal data architect to design, build, and own T-Mobile’s p...

Location

United States , Bellevue; Overland Park; Frisco; Herndon; Washington DC

Salary:

116100.00 - 209300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
Acceptable areas of study include Information Technology, Computer Science or Business
7-10 years experience with ETL/ELT pipeline development, cloud data platform architecture (Azure Data Factory, Databricks, Snowflake), and Salesforce CRM API integration in a production sales or BD environment
7-10 years progressive experience in software engineering/enterprise architecture/technology leadership across multiple products, systems and/or platforms coupled with strong business acumen and executive presence
7-10 years experience working in solutions design and enterprise architecture delivering IT solutions
Cloud Computing
Collaboration
Data Architecture
Data Engineering
Data Management

Job Responsibility

Communicate solution designs clearly using diagrams, documents, and verbal presentations to ensure shared understanding
Support senior architects by providing assessments and work-effort estimates during project intake and planning processes
Build and maintain API integrations connecting GovWin IQ, SAM.gov, Salesforce, and D&B/Leadership Connect into the pursuit intelligence platform, owning all architecture decisions, data quality SLAs, and documentation
Support product lifecycle activities including requirement refinement and data design to align with business needs
Build and maintain the account scoring and tiering engine that ingests buying signals, incumbency data, and competitive inputs to produce real-time Go/No-Go scores for Capture Managers
Lead strategic, regulatory, and tactical software development lifecycle projects to deliver data architecture solutions
Also responsible for other duties/projects as assigned by business management as needed

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
annual bonus or periodic sales incentive or bonus
medical insurance
dental insurance
vision insurance
flexible spending account

Fulltime

Junior Test Engineer

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

2-4 years of experience in Software Testing / QA, with at least 2+ years in Data Warehouse / ETL testing
Practical experience in data migration / data platform modernization projects is strongly preferred
Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters)
Hands-on experience testing on at least one data platform such as: Snowflake, Databricks, or other cloud DW/Big Data platforms – experience with Snowflake/Databricks is a plus
Exposure to Informatica (understanding mappings/workflows and expected outputs)
Exposure to dbt or willingness to learn dbt-based validations (model outputs, dbt test results)
Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping
Familiarity with test management and defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest)
Experience with Excel or similar tools for managing validation results and reconciliation artifacts
Strong attention to detail and a structured approach to validation

Job Responsibility

Execute data validation queries to compare source vs target
Perform row-count checks between source and target tables
Perform aggregate validations (sums, counts, averages, distinct counts, min/max)
Perform sample and cell-level comparisons for critical entities and fields
Validate schema consistency (data types, lengths, precision/scale, nullable fields, constraints)
Log discrepancies, analyze patterns, and work with developers to support root-cause analysis
Understand Informatica mappings and workflows and their expected outputs
Validate dbt models (staging, core, marts) on Snowflake against legacy Informatica outputs
Test Databricks notebooks/jobs that replicate Yellowbricks logic
Validate CDC / incremental loads

Applied Ai Engineer

You will be working with the Head of Data and AI office on R&D and Product initi...

Location

Poland

Salary:

16000.00 - 24000.00 PLN / Month ▼

Montrose Software

Expiration Date

Until further notice

Requirements

3+ years of experience delivering end-to-end Data and AI solutions and products
Experience in delivering systems and solutions with LLM agentic architectures
Understanding of cloud-native architectures and operations
Hands-on experience with Databricks or a comparable Lakehouse platform (Snowflake, BigQuery + Vertex, Microsoft Fabric)
Familiarity with machine learning mathematical toolboxes
Experience with containerized, scalable, elastic deployments, microservice architecture (REST, gRPC)
Comfortable with data engineering
Proficiency with SQL
Understanding of data architectures: OLTP, OLAP, vector and graph databases, column-based file formats
Knowledge of DevOps, MLOps, LLMOps best practices

Job Responsibility

Define and develop proof of concepts for Data and AI products and solutions
Conduct market and technology research
architect optimal solutions to address business challenges
Map AI/ML techniques to specific business problems
Build and productionise solutions on the Lakehouse (Databricks: Unity Catalog, Delta Lake, MLflow, Model Serving, Mosaic AI Agent Framework, Vector Search)
Forecast operational AI costs for solutions at scale
Support business intelligence reporting to guide Data solutions
Develop end-to-end data products and solutions with an MLOps and LLMOps mindset within Montrose Software’s Data and AI framework
Conduct product and feature discovery meetings with Clients aiming for a cost efficient solution addressing clients goals within their context like budgets, operations, talent pools, data maturity
Execute within Montrose's AI delivery and ops patterns and best practices

What we offer

High-quality equipment
Flexible working hours
Remote work possibility
International project teams
English lessons
Training budget
Clear career path
Private medical insurance
Multisport card
Lunch budget

Fulltime

New

Senior Data Engineer (Microsoft Fabric)

We are looking for an experienced Senior Data Engineer (Microsoft Fabric) to joi...

Location

Ukraine

Salary:

Not provided

Binariks

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Engineering
Strong hands-on experience with ELT, data pipelines, and data integration tools, including Microsoft Fabric and Azure Data Factory (ADF)
Proven experience designing and deploying scalable data architectures with a strong focus on ETL/ELT processes
Solid experience designing, developing, and managing enterprise-grade data platforms
Experience working with large-scale datasets, modern data warehouse technologies such as Snowflake, and data processing solutions in real-time and batch environments
Experience with cloud technologies, preferably Microsoft Azure, but AWS will be fine too
Strong knowledge of database technologies, including Oracle, MS SQL Server, and PostgreSQL
Experience with data governance concepts, including data lineage, data quality, and data security
Ability to design and manage data storage, data processing, and data quality frameworks
Ability to work effectively in a fast-paced environment

Job Responsibility

Architect and implement robust ELT processes using Azure Data Factory and Microsoft Fabric
Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver data from multiple enterprise sources into Microsoft Fabric Lakehouses, Warehouses, and downstream Azure SQL databases
Build and maintain cloud-based data platforms and analytics solutions using Microsoft Fabric
Implement and promote modern software engineering principles and best practices in CI/CD and DevOps
Collaborate closely with data engineers, infrastructure teams, business stakeholders, and application teams to ensure effective data integration and accessibility
Partner with data analysts and data scientists to enable analytics and support data-driven decision-making
Enable and support self-service data engineering capabilities across the wider data organization
Identify opportunities for improving the data platform infrastructure and deliver scalable solutions
Monitor system performance, troubleshoot issues, and optimize platform reliability and efficiency
Develop and maintain technical documentation related to the data platform and its infrastructure

What we offer

18 days of paid annual leave
10 sick leaves
Additional days off for special occasions
Medical Care
Health check-up
Play Room
IT Cluster membership
Business Trip
Tech Talks
Training & Conferences

Fulltime

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Snowflake Software Developer

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