Intermediate Data Engineer Job at NTT DATA (Remote)

Senior Data Engineer

We’re growing our team at ELEKS in partnership with a company, the UK’s largest ...

Location

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years
Hands-on experience with Databricks 2+ years
Experience with Python
Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.)
At least an Upper-Intermediate level of English

Job Responsibility

Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects
End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices
Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management
Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

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

Senior Data Engineer

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering
Experience in AWS
Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
Proficiency in programming languages relevant to data engineering, such as Python and SQL
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
Experience in building scalable APIs
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
Upper-Intermediate or higher English skills
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Job Responsibility

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals
Collect and manage large volumes of varied data sets
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products
Define data models that integrate disparate data across the organization
Design, implement, and maintain ETL/ELT data pipelines
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI

What we offer

Long-term B2B collaboration
Paid vacations and sick leaves
Public holidays
Compensation for medical insurance or sports coverage
External and Internal educational opportunities and AWS certifications
A collaborative local team and international project exposure

Senior Data Engineer

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering
Experience in AWS
Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
Proficiency in programming languages relevant to data engineering, such as Python and SQL
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
Experience in building scalable APIs
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
Upper-Intermediate or higher English skills
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Job Responsibility

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals
Collect and manage large volumes of varied data sets
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products
Define data models that integrate disparate data across the organization
Design, implement, and maintain ETL/ELT data pipelines
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI

What we offer

Long-term B2B collaboration
Paid vacations and sick leaves
Public holidays
Compensation for medical insurance or sports coverage
External and Internal educational opportunities and AWS certifications
A collaborative local team and international project exposure

Data Engineer

We are looking for an experienced Data Engineer with deep expertise in Databrick...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow)
Strong proficiency in Python and/or Scala for data processing
Deep understanding of distributed data processing, data warehousing, and ETL concepts
Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage)
Solid knowledge of SQL and experience with large-scale relational and NoSQL databases
Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering
Experience with data governance, security, and compliance in cloud environments
Excellent problem-solving, communication, and leadership skills
English: Upper Intermediate level or higher

Job Responsibility

Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow)
Architect and implement data lakehouse solutions, ensuring data quality, governance, and security
Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP)
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage
Develop and maintain documentation, data models, and technical standards
Monitor, troubleshoot, and resolve issues in production data pipelines and environments
Stay current with emerging trends and technologies in data engineering and Databricks ecosystem

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Senior Data Engineer

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
Experience in AWS
Proficiency in programming languages relevant to data engineering, such as Python and SQL
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
Experience in building scalable APIs
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
Upper-Intermediate or higher English skills
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Job Responsibility

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals
Collect and manage large volumes of varied data sets
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products
Define data models that integrate disparate data across the organization
Design, implement, and maintain ETL/ELT data pipelines
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI

What we offer

Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications
Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work
Long-term B2B collaboration
100% remote — with flexible hours
Collaboration with an international, cross-functional team
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
Special gifts for weddings, childbirth, and other personal milestones

Senior Data Engineer

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
Experience in AWS
Proficiency in programming languages relevant to data engineering, such as Python and SQL
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
Experience in building scalable APIs
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
Upper-Intermediate or higher English skills
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Job Responsibility

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals
Collect and manage large volumes of varied data sets
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products
Define data models that integrate disparate data across the organization
Design, implement, and maintain ETL/ELT data pipelines
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI

What we offer

Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications
Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work
Collaboration with an international, cross-functional team
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
Special gifts for weddings, childbirth, and other personal milestones

Senior Data Engineer

As a Senior Data Engineer, you will be pivotal in designing, building, and optim...

Location

United States

Salary:

102000.00 - 125000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
4+ years of experience in data engineering or a related field
Intermediate to advanced programming skills in Python
Proficiency in SQL and experience with relational databases
Strong knowledge of database and data warehousing design and management
Strong experience with DBT (data build tool) and test-driven development practices
Proficiency with at least 1 cloud database (e.g. BigQuery, Snowflake, Redshift, etc.)
Excellent problem-solving skills, project management habits, and attention to detail
Advanced level Excel and Google Sheets experience
Familiarity with data orchestration tools (e.g. Airflow, Dagster, AWS Glue, Azure data factory, etc.)

Job Responsibility

Developing data pipelines leveraging a variety of technologies including dbt and BigQuery
Gathering requirements from non-technical stakeholders and building effective solutions
Identifying areas of innovation that align with existing company and team objectives
Managing multiple pipelines across Wpromote’s client portfolio

What we offer

Half-day Fridays year round
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Intermediate Data Engineer

NTT DATA

Location:
India , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 13, 2026

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