Data Engineer (Snowflake and DBT) Job at Wissen (Bangalore South)

Data Engineer (DBT)

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years in modern ELT / transformation engineering, with strong expertise in DBT-based development for curated enterprise data layers
Experience defining DBT project standards, modular model design, testing frameworks, documentation, macros, environment strategy, and deployment controls
Proven ability to lead development of conformed Silver layer models across Policy, Claims, Billing, and shared dimensions / reference domains
Strong experience integrating DBT with Databricks / Delta Lake, orchestration tools, version control, and automated quality checks
Able to guide developer productivity, code review standards, reusability, performance tuning, and traceability from mapping to model implementation

Job Responsibility

Design and implement staging, core, and mart layers using standard dbt patterns and folder structures
Develop and maintain dbt tests (schema tests, data tests, custom tests) to ensure data quality and integrity
Implement snapshots, seeds, macros, and reusable components where appropriate
Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently
Work with functional teams to ensure functional equivalence between legacy Informatica outputs and new dbt outputs
Participate in performance tuning of dbt models and Snowflake queries
Integrate dbt with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated runs and validations
Contribute to documentation of dbt models, data lineage, and business rules
Participate in defect analysis, bug fixes, and enhancements during migration and stabilization phases

Snowflake Data Engineer

The Snowflake Data Engineer role requires a minimum of 5 years of experience in ...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

BSc/MSc in Computer Science, Data Engineering, or related field
Snowflake certifications (SnowPro Core, Advanced) highly desirable
Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake
Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms
Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning)
Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent
Strong SQL and Python (or equivalent language) skills for data manipulation and automation
Hands-on experience with cloud platforms (AWS, Azure, GCP)
Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)
Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop)

Job Responsibility

Client Engagement & Delivery: Collaborate with clients to understand data requirements, contribute to solution delivery, and ensure successful project outcomes
Data Pipeline Development: Design, build, and optimise robust, scalable data pipelines to support analytics, reporting, and operational workloads
Snowflake & Cloud Data Platforms: Develop and maintain data solutions on Snowflake and modern cloud ecosystems, ensuring performance, security, and reliability
Data Architecture & Modelling: Implement high‑quality data models and contribute to architectural decisions that support enterprise‑grade data platforms
Collaboration & Best Practices: Work closely with cross‑functional teams to promote engineering best practices, code quality, and continuous improvement
Quality & Governance: Ensure data accuracy, consistency, and compliance through strong testing, documentation, and governance practices
Partner with architects to translate solution designs into high‑quality engineering deliverables
Collaborate with technical teams to support development, troubleshooting, and end‑to‑end data delivery
Client Stakeholders: Engage with client technical leaders
Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements

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
Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

Snowflake Data Engineer

The project is expected to start in Q1 2026. You will play a key role in migrati...

Location

Poland , Wroclaw; Bialystok; Cracow; Gdansk; Lodz; Szczecin; Warsaw

Salary:

100.00 - 160.00 PLN / Hour

Spyrosoft

Expiration Date

Until further notice

Requirements

Great knowledge of dbt Cloud for ETL development
Experience with working on Snowflake data warehouse as a target system for ETL
Proficiency to prepare clear documentation in the Confluence platform
Ability to use ticketing systems such as JIRA and/or Azure DevOps
Familiarity with Snowflake infrastructure as an advanced
Ability to work in an agile BI team (DevOps) and to share skills and experience
Fluency in English

Job Responsibility

Developing and optimizing data flows from Source systems to warehouse structures within Snowflake using dbt Cloud
Creating documentation on Snowflake / dbt Cloud ETL code created in the Confluence platform
Estimating tasks assigned via the ticketing system to and timely resolution of those assigned
Participation in Scrum meetings of the Data team to plan the work and allow work review by the Product Owner
Consult the project team and end users regarding the code you created to facilitate proper handover
Implementing ETL processes specified by the Architects to integrate data sources into Snowflake infrastructure seamlessly.

Fulltime

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, data warehousing, or data architecture
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
Strong SQL and Python skills, with production experience using dbt
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
Prior experience in a consulting or client-facing delivery role
Excellent communication skills, with the ability to collaborate across technical and business stakeholders
SnowPro Core Certification required (or willingness to obtain upon hire)
advanced Snowflake certifications preferred

Job Responsibility

Design and build scalable, secure, and cost-effective data solutions in Snowflake
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
Contribute to internal accelerators, frameworks, and proofs of concept
Mentor junior engineers and support knowledge sharing across the team

What we offer

Flexible Time Off Policy
Eligibility for Health Benefits
Retirement Plan with Company Match
Training and Certification Reimbursement
Utilization Based Incentive Program
Commission Incentive Program
Referral Bonuses
Work from Home

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

DBT/ Snowflake Junior Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who ...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience in Data Engineering / ETL / DW
1–3+ years working with dbt (Core or Cloud)
Strong SQL skills, especially on Snowflake or another modern cloud DW
Experience with dbt concepts: models, tests, sources, seeds, snapshots, macros, exposures
Prior experience with Informatica (developer-level understanding of mappings/workflows) is highly desirable
Understanding of CI/CD practices and integrating dbt into automated pipelines
Knowledge of data modeling (dimensional models, SCDs, fact/dimension design)
Experience working in offshore delivery with onshore coordination
Good communication skills and ability to read/understand existing ETL logic and requirements documentation

Job Responsibility

Translate Informatica mappings, transformations, and business rules into dbt models (SQL) on Snowflake
Design and implement staging, core, and mart layers using standard dbt patterns and folder structures
Develop and maintain dbt tests (schema tests, data tests, custom tests) to ensure data quality and integrity
Implement snapshots, seeds, macros, and reusable components where appropriate
Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently
Work with functional teams to ensure functional equivalence between legacy Informatica outputs and new dbt outputs
Participate in performance tuning of dbt models and Snowflake queries
Integrate dbt with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated runs and validations
Contribute to documentation of dbt models, data lineage, and business rules
Participate in defect analysis, bug fixes, and enhancements during migration and stabilization phases

Data Engineer (Python & Snowflake)

We are looking for an experienced Data Engineer (Python & Snowflake) to design, ...

Location

India , Bangalore South; Mumbai; Pune

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Snowflake architecture, including Snowpipe, Tasks, Streams, and storage vs. compute concepts
High proficiency in SQL/SnowSQL, including complex joins, CTEs, window functions, and query optimization
Strong experience with Python for data processing, automation, and API integrations
Experience with orchestration tools such as Airflow, Prefect, or Dagster
Proficiency with dbt for SQL transformations and data modeling
Strong understanding of AWS cloud services (S3, IAM, Lambda) and integration with Snowflake
Experience using Git and CI/CD pipelines
Strong analytical and problem-solving abilities

Job Responsibility

Design and develop end-to-end ETL/ELT data pipelines to ingest data from APIs, S3, and relational databases into Snowflake
Build and optimize data models (Star/Snowflake schemas) for reporting and analytics use cases
Leverage Python for data transformation, automation, and custom workflow development
Improve Snowflake performance using clustering, partitioning, query optimization, and warehouse tuning
Implement data quality, validation rules, and governance controls (including RBAC)
Collaborate with Data Scientists, Analysts, and cross-functional teams to deliver scalable data solutions
Manage workflow orchestration using tools such as Airflow, Prefect, or Dagster
Implement modular SQL transformations using dbt (data build tool)
Integrate Snowflake with AWS services such as S3, IAM, Lambda, etc.

Fulltime

Principal Data And Analytics Engineer

The Principal Data and Analytics Engineer holds comprehensive responsibility for...

Location

United States

Salary:

108086.00 - 180144.00 USD / Year

O'Reilly Auto Parts

Expiration Date

Until further notice

Requirements

Proven experience architecting enterprise-scale data platforms and ecosystems, including hybrid and cloud-native environments (e.g., GCP BigQuery, Snowflake, Iceberg, Advanced SQL, Erwin, dbt, Kafka, Alation, Collibra)
Deep expertise in designing and scaling highly available, secure, and fault-tolerant batch and streaming pipelines with strong emphasis on cost optimization, observability, and latency control
Advanced proficiency in semantic modeling, reusable data asset design, and cross-functional data product delivery aligned to medallion architecture
Leadership in implementing CI/CD-enabled pipelines, RBAC frameworks, schema evolution strategies, and interoperable data exchange using Iceberg or equivalent table formats
Ownership of organization-wide metrics store and semantic layers, ensuring consistency, governance, and performance across reporting, AI, and ML use cases
Advanced expertise in programming languages such as Python, Scala, with the ability to architect complex data solutions
Demonstrated leadership in designing and overseeing the implementation of scalable, idempotent workflows using orchestration frameworks such as Airflow and Prefect
Demonstrated ability to translate business transformation goals into scalable data solutions and reusable patterns
Deep understanding of business processes, KPIs, and capability maps across functions such as supply chain, customer, store ops, and finance
Proven experience in driving cross-functional data product prioritization, influencing senior stakeholders, and quantifying impact of data initiatives

Job Responsibility

Help define and evolve enterprise data engineering blueprints, including data mesh, medallion architecture, and hybrid cloud data platforms
Set strategic direction for data platforms, tools, and services (e.g., Snowflake, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities
Architect and design highly scalable, resilient, cost optimal and secure data platforms
Lead the design and implementation of next-generation data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data
Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies
Lead technology evaluation and adoption, proactively researching, evaluating, and championing the integration of cutting-edge data technologies, frameworks, and methodologies
Define and scale enterprise knowledge management frameworks that ensure consistent documentation, discoverability, and reusability of data assets across domains
Establish and govern standards for metadata management, data lineage, architectural diagrams, and runbooks
Lead the design of federated governance models that empower domain-aligned teams to operate autonomously while conforming to centralized policies, frameworks and playbooks
Collaborate with data governance, compliance, and security teams to operationalize policy-as-code frameworks for data retention, access control, and PII handling

What we offer

Competitive Wages & Paid Time Off
Stock Purchase Plan & 401k with Employer Contributions Starting Day One
Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
Team Member Health/Wellbeing Programs
Tuition Educational Assistance Programs
Opportunities for Career Growth

Fulltime

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Data Engineer (Snowflake and DBT)

Job Description

Job Responsibility

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