Data Engineer 2 Job at Uber (Bangalore)

Data Engineer

As a Data Engineer at Rearc, you'll contribute to the technical excellence of ou...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in data engineering, data architecture, or related fields
Solid track record of contributing to complex data engineering projects
Hands-on experience with ETL processes, data warehousing, and data modelling tools
Good understanding of data integration tools and best practices
Familiarity with cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong analytical skills
Proficiency in implementing and optimizing data pipelines using modern tools and frameworks
Strong communication and interpersonal skills

Job Responsibility

Collaborate with Colleagues to understand customers' data requirements and challenges
Apply DataOps Principles to create scalable and efficient data pipelines and architectures
Support Data Engineering Projects
Promote Knowledge Sharing through technical blogs and articles

Data Engineer

Become a player in our data engineering team, grow on a personal level and help ...

Location

Serbia , Novi Beograd

Salary:

Not provided

MDPI

Expiration Date

Until further notice

Requirements

A university degree, ideally in Computer Science or related science, technology or engineering field
2+ years of relevant work experience in data engineering roles
Experience in data acquisition, laking, warehousing, modeling, and orchestration
Proficiency in SQL (including window functions and CTE)
Proficiency in RDBMS (e.g., MySQL, PostgreSQL)
Strong programming skills in Python (with libraries like Polars, optionally Arrow / PyArrow API)
First exposure to OLAP query engines (e.g., Clickhouse, DuckDB, Apache Spark)
Familiarity with Apache Airflow (or similar tools like Dagster or Prefect)
Strong teamwork and communication skills
Ability to work independently and manage your time effectively

Job Responsibility

Assist in designing, building, and maintaining efficient data pipelines
Work on data modeling tasks to support the creation and maintenance of data warehouses
Integrate data from multiple sources, ensuring data consistency and reliability
Collaborate in implementing and managing data orchestration processes and tools
Help establish monitoring systems to maintain high standards of data quality and availability
Work closely with the Data Architect, Senior Data Engineers, and other members across the organization on various data infrastructure projects
Participate in the optimization of data processes, seeking opportunities to enhance system performance

What we offer

Competitive salary and benefits package

Data Engineer

We are seeking a skilled and innovative Data Engineer to join our team in Nieuwe...

Location

Netherlands , Nieuwegein

Salary:

3000.00 - 6000.00 EUR / Month

Sopra Steria

Expiration Date

Until further notice

Requirements

BSc or MSc degree in IT or a related field
Minimum of 2 years of relevant work experience in data engineering
Proficiency in building data pipelines using tools such as Azure Data Factory, Informatica Cloud, Synapse Pro, Spark, Python, R, Kubernetes, Snowflake, Databricks, or AWS
Advanced SQL knowledge and experience with relational databases
Hands-on experience in data modelling and data integration (both on-premise and cloud-based)
Strong problem-solving skills and analytical mindset
Knowledge of data warehousing concepts and big data technologies
Experience with version control systems, preferably Git
Excellent communication skills and ability to work collaboratively in a team environment
Fluency in Dutch language (required)

Job Responsibility

Design, develop, and maintain scalable data pipelines and ETL/ELT processes
Collaborate with Information Analysts to provide technical frameworks for business requirements of medium complexity
Contribute to architecture discussions and identify potential technical and process bottlenecks
Implement data quality checks and ensure data integrity throughout the data lifecycle
Optimise data storage and retrieval systems for improved performance
Work closely with cross-functional teams to understand data needs and deliver efficient solutions
Stay up-to-date with emerging technologies and best practices in data engineering
Troubleshoot and resolve data-related issues in a timely manner
Document data processes, architectures, and workflows for knowledge sharing and future reference

What we offer

A permanent contract and a gross monthly salary between €3,000 and €6,000 (based on 40 hours per week)
8% holiday allowance
A generous mobility budget, including options such as an electric lease car with an NS Business Card, a lease bike, or alternative transportation that best suits your travel needs
8% profit sharing on target (or a fixed OTB amount, depending on the role)
27 paid vacation days
A flex benefits budget of €1,800 per year, plus an additional percentage of your salary. This can be used for things like purchasing extra vacation days or contributing more to your pension
A home office setup with a laptop, phone, and a monthly internet allowance
Hybrid working: from home or at the office, depending on what works best for you
Development opportunities through training, knowledge-sharing sessions, and inspiring (networking) events
Social activities with colleagues — from casual drinks to sports and content-driven outings

Fulltime

Sap Btp Data Engineer

At LeverX, we have had the privilege of working on over 950 SAP projects, includ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

2+ years of experience designing and developing SAP data solutions within SAP and non-SAP enterprise landscapes
Strong knowledge of data modeling in Data Warehouses
Strong knowledge of the visualization patterns, approaches, and techniques in SAP and non-SAP landscapes
Understanding of Data Engineering solutions within the SAP BDC landscape, such as SAP Databricks
Proven experience in data transformation and integration with SAP ERP, S/4HANA, and equivalent external systems
Good understanding of SAP data integration techniques (SDI, SDA, APIs, ODP) and protocols (OData, REST, JDBC)
Bachelor’s degree in Computer Science, Information Systems, or equivalent
English B2+

Job Responsibility

Design, develop, and deploy enterprise data solutions on SAP BTP, integrating SAP and non-SAP systems
Analyze and resolve complex data and integration challenges, ensuring reliable and scalable solutions
Collaborate with data architects, functional analysts, and business stakeholders to translate requirements into data models, dashboards, and analytics
Lead small project teams (2–3 members) and contribute to cross-regional collaboration for consistent delivery
Facilitate client enablement through workshops, webinars, and hands-on sessions
Continuously grow expertise by staying current with SAP data and analytics technologies (e.g., SAP Business Data Cloud, AI/ML) and pursuing relevant certifications

What we offer

89% of projects use the newest SAP technologies and frameworks
Expert communities and internal courses
Valuable perks to support your growth and well-being
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 in the company for 4+ years

Software Engineer 2 / Senior Software Engineer

We are looking for an experienced Software Engineers for our Bangalore location ...

Location

India , Bengaluru

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Solid grasp of computer science fundamentals and especially data structures, algorithms, multi-threading
Ability to solve difficult problems with a simple elegant solution
Should have solid object-oriented programming background with impeccable design skills
Experience in developing management applications and performance management applications is ideal
Experience with object-based file systems and REST interfaces is a plus (e.g. Amazon S3, Azure, Google Cloud Service)
Should have a BE or higher in CS, EE, Math or related engineering or science field
At least 5+ years of experience in software deployment
Tech Stack: Java, Maven Virtualisation, SaaS, Github, Jira, Slack, Cloud Solutions and Hypervisors

Job Responsibility

Responsible for designing and developing features that powers Komprise data management platform to manage billions of files and petabytes of data
Responsible for designing of major components and systems of our product architecture, ensuring that Komprise data management platform is highly available and scalable
Responsible for writing performance code, evaluate feasibility, develop for quality and optimize for maintainability
Work in agile, customer focused and fast paced team with direct interaction with the customers
Responsible for analysing customer escalated issues and provide resolutions in a timely manner
Should be able to design and implement highly performant, scalable distributed systems

Data Engineer

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

Location

United States , San Francisco

Salary:

163200.00 - 223200.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

2+ years of dedicated data engineering experience, solving complex data pipeline 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

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
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, and 401(k)

Fulltime

Data Engineer

Data sits at the heart of the company. This role is to ensure that Awin is able ...

Location

Romania , Iași

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or a related field with a focus on data engineering, analytics, or business intelligence
2+ years of working experience as a Data Engineer or Data Warehouse Developer using Python or similar technologies
Hands-on experience with Microsoft Azure and AWS data engineering pipelines
Excellent knowledge of database and dimensional modeling techniques
Strong experience with Azure Data Factory, Azure Databricks, Python (NumPy, Pandas), ADLS, Azure Event Hub, and Azure SQL DB
Excellent command of SQL, T-SQL, Python, and PySpark
Practical experience with Agile and Scrum methodologies
Strong communication and analytical skills

Job Responsibility

Write clean, elegant, and maintainable code following data warehousing best practices and modeling techniques (Kimball, Star Schema, etc.)
Troubleshoot data transformation errors by debugging and developing effective solutions
Clearly and confidently present findings, bugs, and proposed system improvements to stakeholders
Design and implement new Azure and AWS data pipelines and Databricks notebooks to integrate additional data sources
Add new data points to existing Azure Analysis Services (AAS) cubes or equivalent data models
Continuously identify and implement performance improvements
Ensure the quality, accuracy, and reliability of all data and reports

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Health & Well Being: With our support and access to various initiatives and sports offers, you can devote yourself to your mental and physical well-being. Additionally to our initiatives on our Awin platform, we offer Multisport Card, and Medicover or Luxmed health insurance
Development: We’ve built our extensive multidisciplinary training suite Awin Academy (to cover a wide range of skills that nurture you professionally and personally,) with trainings conveniently packaged together to support your overall development. You can also improve your foreign language skills by participating in our local language course
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Fulltime

Data Engineer

Purpose of position: Data sits at the heart of the company. This role is to ensu...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or a related field with a focus on data engineering, analytics, or business intelligence
2+ years of working experience as a Data Engineer or Data Warehouse Developer using Python or similar technologies
Hands-on experience with Microsoft Azure and AWS data engineering pipelines
Excellent knowledge of database and dimensional modeling techniques
Strong experience with Azure Data Factory, Azure Databricks, Python (NumPy, Pandas), ADLS, Azure Event Hub, and Azure SQL DB
Excellent command of SQL, T-SQL, Python, and PySpark
Practical experience with Agile and Scrum methodologies
Strong communication and analytical skills

Job Responsibility

Write clean, elegant, and maintainable code following data warehousing best practices and modeling techniques (Kimball, Star Schema, etc.)
Troubleshoot data transformation errors by debugging and developing effective solutions
Clearly and confidently present findings, bugs, and proposed system improvements to stakeholders
Design and implement new Azure and AWS data pipelines and Databricks notebooks to integrate additional data sources
Add new data points to existing Azure Analysis Services (AAS) cubes or equivalent data models
Continuously identify and implement performance improvements
Ensure the quality, accuracy, and reliability of all data and reports

What we offer

Flexi-Week at full pay with no reduction to annual holiday allowance
Various paid special leaves
Flexi-Office and hybrid/remote work possibilities
Monthly remote working allowance
Support for mental and physical well-being initiatives
Multisport Card
Medicover or Luxmed health insurance
Access to Awin Academy training suite
Local language courses
Peer-to-peer voucher program

Fulltime

Data Engineer 2

Uber

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 20, 2026

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