Senior Data Engineer Job at NTT DATA (Bangalore)

Senior Data Engineer

Join a leading global live-entertainment discovery tech platform. As a Senior Da...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You have a strong background in at least two of: data engineering, business intelligence, software engineering
You are an expert in Python3 and its data ecosystem
You have proven experience working with SQL languages
You have worked with complex data pipelines
You are a collaborative team player with strong communication skills
You are proactive, driven, and bring positive energy
You possess strong analytical and problem-solving abilities backed by solid software engineering skills
You are proficient in business English.

Job Responsibility

Own critical data pipelines of our data warehouse
Ideate and implement tools and processes to exploit data
Work closely with other business units to create structured and scalable solutions
Contribute to the development of a complex data and software ecosystem
Build trusted data assets
Build automatizations to create business opportunities
Design, build and support modern data infrastructure.

What we offer

Attractive compensation package with potential bonus
Stock options
40% discount on all Fever events and experiences
Home office friendly
Responsibility from day one
Great work environment with a young international team
Health insurance
Flexible remuneration with 100% tax exemption through Cobee
English lessons
Gympass membership

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data En...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies

Job Responsibility

Help our stakeholder teams ingest data faster into our data lake
Make our data pipelines more efficient
Build micro-services, architect, design, and enable self-serve capabilities at scale
Work on an AWS-based data lake backed by open source projects such as Spark and Airflow
Identify ways to make our platform better and improve user experience
Apply strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data En...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies

Job Responsibility

Help our stakeholder teams ingest data faster into our data lake
Make our data pipelines more efficient
Build micro-services
Architect, design, and enable self-serve capabilities at scale
Apply your strong technical experience building highly reliable services
Manage and orchestrate a multi-petabyte scale data lake
Transform vague requirements into solid solutions
Solve challenging problems creatively

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions of events each month into ou...

Location

United States , San Francisco

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

stellar people management skills and experience in leading an agile software team
thrive when developing phenomenal people, not just great products
worked closely Data Science, analytics and platform teams
expertise in building and maintaining high-quality components and services
able to drive technical excellence, pushing for innovation and quality
at least 10 years experience in a software development role as an individual contributor
4+ years of people management experience
deep understanding of data challenges at scale challenges and the eco-system
experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
experience with Enterprise Data architectural standard methodologies

Job Responsibility

build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
champion cultural and process improvements through engineering excellence, quality and efficiency
work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Data Engineering Tea...

Location

United States , San Francisco

Salary:

135600.00 - 217800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

BS in Computer Science or equivalent experience with 5+ years as Data Engineer or similar role
Programming skills in Python & Java (good to have)
Design data models for storage and retrieval to meet product and requirements
Build scalable data pipelines using Spark, Airflow, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka)
Familiar with modern software development practices (Agile, TDD, CICD) applied to data engineering
Enhance data quality through internal tools/frameworks detecting DQ issues
Working knowledge of relational databases and SQL query authoring

Job Responsibility

Collaborating with partners, you will design data models, acquisition processes, and applications to address needs
Lead business growth and enhance product experiences
Collaborate with Technology Teams, Global Analytical Teams, and Data Scientists across programs
Extracting/cleaning data, understanding generating systems
Improve data quality by adding sources, coding rules, and producing metrics as requirements evolve

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Microsoft Stack Data Engineer

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senio...

Location

United States , West Des Moines

Salary:

155000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of DATA WAREHOUSE EXPERIENCE / Data Lake experience
Advanced SQL Server
Strong SQL experience, working with structured and unstructured data
Strong in SSIS ETL
Proficiency in SQL and SQL Queries
Experience with SQL Server and SQL Server
Knowledge of Data Warehousing and Data Warehousing
Data Warehouse experience: Star Schema and Fact & Dimension data warehouse structure
Experience with Azure Data Lake and Data lakes
Proficiency in ETL / SSIS and SSAS

Job Responsibility

Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
ALL ASPECTS OF Data Engineering
Technical Leader of the team

What we offer

Bonus
2 1/2 day weekends
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, working with large-scale distributed systems
Strong proficiency in Python, Java, or Scala for data processing
Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Job Responsibility

Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
Optimize data ingestion, transformation, and storage for high availability and cost efficiency
Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform

What we offer

Work with some of the brightest minds in the industry
Entrepreneurial culture fostering innovation, impact, and career growth
Opportunity to work on real-world logistics challenges
Collaborate with cross-functional teams across data science, engineering, and product
Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Fulltime

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

Senior Data Engineer

NTT DATA

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 23, 2026

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