Data Engineer (DBT) Job at NTT DATA (Bangalore)

IT Cloud Data Engineer - HVR & DBT

Location

United States , Oak Brook

Salary:

40.30 - 60.45 USD / Hour

Advocate Health Care

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related field
Typically requires 5 years of experience in at least two IT disciplines, including database management, cloud engineering, data engineering and middleware technologies
Includes 2 years of work experience with cloud platforms, including experience with data integration, performance optimization, and platform administration
Experience defining, designing, and developing solutions with data integration platforms/tools
Proven experience building and optimizing data pipelines, and data sets
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Must have experience in data transformation and data pipeline development using GUI based tools or programming languages like SQL and Python
Must have experience with DevOps tool chains and processes

Job Responsibility

Drive scope definition, requirements analysis, data and technical design, pipeline build, product configuration, unit testing, and production deployment
Design scalable ingestion processes to bring on-prem, API drive, 3rd party, end user generated data sources to integrate in common cloud infrastructure
Design reusable assets, components, standards, frameworks, and processes to accelerate and facilitate data integration projects
Develop data integration and transformation jobs using Python, SQL and ETL /ELT tools
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Develop and implement scripts for data process maintenance, monitoring, and performance tuning
Test and document data processes through data validation and verification procedures
Ensure delivered solutions meet/perform to technical and functional/non-functional requirements
Provide technical guidance and mentorship to junior engineers, ensuring best practices in data engineering

What we offer

Paid Time Off programs
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits such as adoption assistance and paid parental leave
Defined contribution retirement plans with employer match and other financial wellness programs
Educational Assistance Program

Fulltime

Data Engineer (Snowflake and DBT)

Wissen Technology is hiring a highly skilled Data Engineer with strong experienc...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

6+ years of experience in building data engineering pipelines
Strong hands-on expertise with DBT and advanced SQL
Experience working with modern columnar/MPP data warehouses, preferably Snowflake
Knowledge of Python for data manipulation and workflow automation (preferred)
Good understanding of data modeling concepts, ETL/ELT processes, and best practice

Job Responsibility

Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB
Collaborate with data analysts, QA and business teams to build scalable data models
Implement data transformations, testing, and documentation within the DBT framework
Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning
Use Python (preferred) for automation, scripting, and additional data processing as needed

Fulltime

Senior Staff Data Engineer- Data Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in Software Development or Data Engineering
at least 5+ years specifically focused on building Data Platforms
deep understanding of how Platform infra supports Analytics workloads
proven experience evolving complex platforms from legacy patterns to modern, cloud-native solutions
deep knowledge of Spark internals, JVM tuning, and performance optimization for high-scale batch and streaming datasets
deep expertise in Unity Catalog, Delta Lake internals, and optimizing high-volume workloads
strict software engineering discipline (CI/CD, Testing, OOP) applied to data pipelines
understanding of microservices architecture
understanding the needs of Analytics/DWH teams (Data Modeling, dbt)
strong background in building automated pipelines using Terraform/Terragrunt and ensuring system observability

Job Responsibility

Lead the evolution of our Data Platform and architect the "Data Exchange" strategy
define robust patterns for API-based ingestion, Event-Driven Architectures (Kafka), and Reverse ETL
ensure architectures are optimized for cost and performance on AWS
act as a catalyst for technical evolution
constantly scan the horizon for next-generation technologies
lead the implementation of new paradigms
design the strategy for Unity Catalog implementation and Data Contracts
champion FinOps, automating cost controls for our highest-volume workloads
build the underlying infrastructure that allows Analytics/DWH teams to run efficient transformations
elevate the technical bar of the team, mentoring Staff and Senior engineers

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
a collaborative environment with an opportunity to explore your potential and grow
a range of locally relevant benefits

Fulltime

New

Data Engineer (Business Data)

As a Data Engineer on the R&D Team, you will help FreshBooks build and evolve hi...

Location

Canada , Toronto

Salary:

102400.00 - 128000.00 CAD / Year

FreshBooks

Expiration Date

Until further notice

Requirements

2+ years of experience working in data engineering, analytics engineering, or a related field
Experience building and maintaining data models and transformation pipelines (e.g., dbt or similar tools)
Strong SQL skills and proficiency in Python (or similar language)
Solid understanding of data modeling concepts (e.g., dimensional modeling, normalization, data warehousing patterns)
Experience working with a cloud data warehouse (e.g., BigQuery, Snowflake, Redshift)
Familiarity with orchestrators such as Airflow, GCC, Dagster, Prefect (or similar tools)
Basic understanding or exposure to streaming/event-driven systems (e.g., Pub/Sub, Kafka, Kinesis, Dataflow)
Understanding of data quality, testing, and validation practices
Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders

Job Responsibility

Architect, design, and develop clean, high-performance datasets using modern tools like dbt and BigQuery, focusing on usability and scalability for analytical consumption
Be a key contributor to our domain-oriented data architecture, defining how core business entities (e.g., customers, payments) are modeled, governed, and exposed across the organization
Build and maintain robust batch and streaming data pipelines that transform raw data into trusted, analytics-ready assets to support both near real-time and traditional use cases
Collaborate closely with Analytics, Product, and Machine Learning teams to translate complex requirements into reusable, well-governed data models and contracts
Champion data quality, reliability, and documentation by implementing rigorous testing, validation, and monitoring practices
Leverage cutting-edge tools, including AI/agentic workflows, to accelerate development, enhance productivity, and improve data exploration and lineage
Participate in code reviews, contribute to improving engineering standards, and partner with platform teams to ensure our data solutions meet ambitious performance, cost, and scalability goals

What we offer

Comprehensive health and wellness benefits
Generous time off including a flexible vacation plan
Retirement savings program or pension plan matched to your local office
Stock options for every full-time employee
Parental leave and new parent support
Annual healthy living credit
Comprehensive medical and dental benefits
Fertility and gender-affirming benefits
Peer Recognition Program
Employee Assistance Program

Fulltime

Senior Data Engineer (with Data Analyst skills)

As a Senior Data Engineer (with Data Analyst skills), your primary task will be ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

You have 4+ years of relevant work experience as a Data Analytics Engineer
You are analytical, curious, and detail-oriented
You get energy from diverse work and solving complex data questions
You have extensive knowledge of SQL or other languages. Preferably experience with GTM, A/B testing, and dashboarding
Strong communication skills - you can explain insights and analytical solutions to technical and non-technical stakeholders
High motivation, proactiveness, and a genuine enthusiasm for data and product analytics
English level - at least Upper-Intermediate, both spoken and written

Job Responsibility

Migrating dashboards and underpinning analytics models from (Snowflake, dbt, Qlik) to (AWS, python) data platform
Measuring the effectiveness of a new feature on the platform
Analyzing and advising on the customer journey (of B2B and B2C customers)
Analyzing the effectiveness of website personalization
Maintaining the tag management system and Snowplow data models in DBT/SQL

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Data Engineer (Modern Data Stack / DataOps)

We are looking for a Senior Data Engineer with experience in modern cloud data p...

Location

Romania

Salary:

Not provided

ddroidd

Expiration Date

Until further notice

Requirements

7+ years of experience in Data Engineering or similar roles
Strong hands-on experience with Snowflake
Strong hands-on experience with Apache Airflow
Strong hands-on experience with dbt (data build tool)
Strong SQL expertise
Experience building and managing ELT pipelines
Experience with Git and collaborative development workflows
Familiarity with DataOps / CI/CD practices for data pipelines
Solid understanding of data modeling and data warehouse architecture

Job Responsibility

Design and maintain data pipelines and ELT workflows within a modern cloud data platform
Build and maintain data transformation models using dbt, including testing, documentation, and modular data modeling
Orchestrate and monitor workflows using Apache Airflow
Manage and optimize Snowflake data warehouse environments, including performance and cost efficiency
Implement DataOps practices such as CI/CD, automated testing, and deployment for data pipelines
Ensure data quality, reliability, and observability across the data platform
Collaborate with analytics, product, and engineering teams to deliver reliable datasets and data products
Improve monitoring, automation, and operational processes for the data platform

What we offer

Private medical insurance
National holidays off, even when falling on weekends
Loyalty leave: +1 day/year
Continuous professional development opportunities
Sports subscription programs
Referral bonuses for bringing in new talent
Meal tickets
Bookster subscription for reading & learning
Community and team-building events
Flexible and unlimited remote work policy

Fulltime

Staff Engineer - Finance Data Engineer

GEICO is seeking Finance Data specialists to support the build out of a Finance ...

Location

United States , Palo Alto

Salary:

110000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle
Workday
SAP or PeopleSoft)
3+ years of experience in implementing and supporting FP&A applications (Preferred)
3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools
Good understanding of Dimensional Data Modeling
Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs
Experience working with Financials via the major vendors (e.g. PeopleSoft
Oracle EBS

Job Responsibility

Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO’s current and future needs
Engage in cross-functional collaboration throughout the entire software lifecycle
Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations
Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met
Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse
Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects
Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent)
Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions
Support and try to influence customers and stakeholders, and work through divergent expectations

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

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