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

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

Staff Data Engineer

We are seeking a Staff Data Engineer to architect and lead our entire data infra...

Location

United States , New York; San Francisco

Salary:

170000.00 - 210000.00 USD / Year

Taskrabbit

Expiration Date

Until further notice

Requirements

7-10 years of experience in Data Engineering
Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran
Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads
Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala)
Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns
Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components
Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent

Job Responsibility

Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases
Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business
Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools
Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth
Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent)
Champion data quality, documentation, and observability to ensure high trust in data across the organization
Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines

What we offer

Employer-paid health insurance
401k match with immediate vesting
Generous and flexible time off with 2 company-wide closure weeks
Taskrabbit product stipends
Wellness + productivity + education stipends
IKEA discounts
Reproductive health support

Fulltime

Senior Data Engineer

This project is designed for consulting companies that provide analytics and pre...

Location

Salary:

Not provided

Lightpoint Global

Expiration Date

Until further notice

Requirements

successfully implemented and released data integration services or APIs using modern Python frameworks in the past 4 years
successfully designed data models and schemas for analytics or data warehousing solutions
strong analysis and problem solving skills
strong knowledge of Python programming language and data engineering
deep understanding of good programming practices, design patterns, and software architecture principles
ability to work as part of a team by contributing to product backlog reviews and solution design and implementation
be disciplined in implementing software in a timely manner while ensuring product quality isn't compromised
formal training in software engineering, computer science, computer engineering, or data engineering
have working knowledge with Apache Airflow or a similar technology for workflow orchestration
have working knowledge with dbt (data build tool) for analytics transformation workflows

Job Responsibility

work in an agile team to design, develop, and implement data integration services that connect diverse data sources including event tracking platforms (GA4, Segment), databases, APIs, and third-party systems
build and maintain robust data pipelines using Apache Airflow, dbt, and Spark to orchestrate complex workflows and transform raw data into analytics-ready datasets in Snowflake
develop Python-based integration services and APIs that enable seamless data flow between various data technologies and downstream applications
collaborate actively with data analysts, analytics engineers, and platform teams to understand requirements, troubleshoot data issues, and optimize pipeline performance
participate in code reviews, sprint planning, and retrospectives to ensure high-quality, production-ready code by end of each sprint
contribute to the continuous improvement of data platform infrastructure, development practices, and deployment processes in accordance with CI/CD best practices

Fulltime

Data Engineer

Hivex is seeking a highly skilled and experienced Data Engineer to join our dyna...

Location

Salary:

Not provided

Hivex

Expiration Date

Until further notice

Requirements

4.5+ years of experience in a data engineering role
Proficiency in AWS RDS and Snowflake for database management
Hands-on experience with Fivetran, DBT, and Prefect
Experience with Looker
Familiarity with Datadog for monitoring and performance optimization
English level - B2
Strong communication skills to effectively collaborate with team members and stakeholders
Ability to work independently and manage multiple tasks simultaneously

Job Responsibility

Develop, maintain, and optimize data pipelines using tools such as Fivetran, DBT, and Prefect
Manage and administer databases on AWS RDS and Snowflake to ensure optimal performance and data integrity
Design and implement data models and ETL processes to support business intelligence and analytics
Work with Looker to create and maintain insightful reports and dashboards
Monitor and optimize data workflows and performance using Datadog
Ensure data quality, security, and compliance with industry standards and best practices
Troubleshoot and resolve data-related issues and provide ongoing support to data users across the organization

What we offer

Remote job with the freedom to work from anywhere in the world
Flexible work schedule tailored to your life and work needs
Competitive and timely salary
Opportunities for professional growth and development
The chance to gain experience in various fields and participate in exciting projects
Your ideas and initiatives are always welcome and valued

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...

Location

United States , Scottsdale

Salary:

90000.00 - 120000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

2-4 years of hands-on data engineering experience in production environments
Bachelor's degree in Computer Science, Engineering, or a related field
Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
Strong Python and SQL skills for data processing and automation
1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
Advanced SQL skills, database design principles, and experience with multiple database platforms
Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats

Job Responsibility

Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
Optimize query performance and resource utilization to control costs and improve processing speed
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
Implement workflow automation and dependency management for critical business operations
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
Support advanced analytics initiatives through proper data preparation and feature engineering
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
a 401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

Data & Analytics Engineer

Join the best engineering team in media. Morning Brew Inc. is looking for a mid-...

Location

United States

Salary:

150000.00 - 170000.00 USD / Year

Morning Brew Inc.

Expiration Date

Until further notice

Requirements

5+ years of experience in data modeling, querying and developing for cloud data warehouse, and pipeline development
Strong proficiency in SQL, with a track record of writing and optimizing complex queries for large datasets
Experience with DBT (or similar data transformation tools)
Experience in Python or a similar scripting language for building data applications

Job Responsibility

Modeling and serving data that powers our business at every level
Improving the data architecture and adapting to new and changing business requirements
Working with leadership, product engineering, product management, analytics and insights teams to develop and sustain our first party data strategy
Working with the rest of the Product team to ensure the data stack can stay in lock step with the product software stack
Working to not only model and serve data but to tell stories with it

What we offer

401(k) employer match
Premium health, vision, and dental plans
Mental health benefits
Extra help when you need it: including a care concierge, plus free access to One Medical and the Calm app
Family planning: Generous paid parental leave and fertility coverage for eligible employees
Employee Resource Groups: Black Coffee, LGBTQ Brew, AAPI Brew, Cafe Con Leche, and Grounded
Gym and workout class reimbursements
Annual learning credit

Fulltime

Data Engineer III

As a Data Engineer, you will play a key role in designing, developing, and maint...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

3+ years as a Data Engineer, data-adjacent Software Engineer, or a did-everything small data team member with a focus on building and maintaining data pipelines
Strong Python skills, especially in the context of data orchestration
Strong understanding of database management and design, including experience with Snowflake or an equivalent platform
Proficiency in SQL
Familiarity with data integration patterns, ETL/ELT processes, and data warehousing concepts
Experience with Argo, Prefect, Airflow, or similar data orchestration tools
Excellent problem-solving and analytical skills with a strong attention to detail
Ability to bring a customer-oriented and empathetic approach to understanding how data is used to drive the business
Strong communication skills

Job Responsibility

Design, develop, and maintain scalable and efficient data pipelines in an AWS environment, centered on our Snowflake instance and using Fivetran, Prefect, Argo, and dbt
Collaborate with business analysts, analytics engineers, and software engineers to understand data requirements and deliver reliable solutions
Design, build and maintain tooling that enables users and services to interact with our data platform, including CI/CD pipelines for our data lakehouse, unit/integration/validation testing frameworks for our data pipelines, and command-line tools for ad-hoc data evaluation
Identify and implement best practices for data ingestion, transformation, and storage to ensure data integrity and accuracy
Optimize and tune data pipelines for improved performance, scalability, and reliability
Monitor data pipelines and proactively address any issues or bottlenecks to ensure uninterrupted data flow
Develop and maintain documentation for data pipelines, ensuring knowledge sharing and smooth onboarding of new team members
Implement data governance and security measures to ensure compliance with industry standards and regulations
Keep up to date with emerging technologies and trends in data engineering and recommend their adoption as appropriate

What we offer

Competitive compensation based on market standards
Flexible Leave Policy
Office is in the heart of the city in case you need to step in for any purpose
Medical Insurance (1+5 Family Members)
We provide comprehensive coverage including accident policy and life Insurance
Annual performance cycle
Quarterly team engagement activities and rewards & recognitions
L&D programs to foster professional growth
A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Fulltime

Senior Data Engineer

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale
Experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)
Value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow
Experience working with different performant warehouses and data lakes
Redshift, Snowflake, Databricks
Experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka
Appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data
Excited to try out new technologies and like to produce proof-of-concepts that balance technical advancement and user experience and adoption
Like to get deep in the weeds to manage, deploy, and improve low level data infrastructure
Empathetic working with stakeholders

Job Responsibility

Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles
Have data quality and performance top of mind while designing datasets
Leading key data engineering projects that drive collaboration across the company
Advocating for adopting industry tools and practices at the right time
Owning core SQL and python data pipelines that power our data lake and data warehouse
Well-documented data with defined dataset quality, uptime, and usefulness

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Data Engineer (Snowflake and DBT)

Wissen

Location:
India , Bangalore South

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 04, 2026

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