Senior Software Engineer

Axis Security - Acquired by HPE Aruba is seeking a highly skilled and motivated ...

Location

Israel , Tel Aviv

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

5+ years of professional software development experience
Proficiency in one or more languages such as C#, JavaScript/TypeScript, or Go
Experience with frameworks such as .NET Core & React
Strong understanding of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases
Strong experience in building RESTful APIs and microservices architectures
Experience working with one of the leading vendors for big data processing, analytics, and storage (Advantage)
Experience with AWS, Azure, or Google Cloud Platform (GCP) (Advantage)
Understanding of secure coding practices and data protection regulations (Advantage)
Experience with unit testing, integration testing, and automated testing frameworks (Advantage)
Experience with Docker, Kubernetes, Gitlab, or other CI/CD tools (Advantage)

Job Responsibility

Design, develop, test, and maintain robust, scalable, and high-quality software applications
Contribute to architectural decisions, ensuring efficient system design and implementation
Design and optimize data pipelines, integrating structured and unstructured data sources into data lakes
Write clean, maintainable, and well-documented code while enforcing coding standards and best practices (SOLID principles, TDD, CI/CD)
Identify bottlenecks and optimize application performance, scalability, and security
Mentor junior developers, conduct code reviews, and promote knowledge sharing within the team
Work closely with product managers, designers, DevOps, and QA teams to deliver high-quality software solutions
Troubleshoot and resolve complex technical issues across different components of the software stack
Participate in Agile methodologies, including sprint planning, daily stand-ups, and retrospectives

What we offer

Health & Wellbeing
Personal & Professional Development
Diversity, Inclusion & Belonging

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

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...

Location

United States , Chicago

Salary:

160555.00 - 176610.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
3 years of experience in data engineering
Experience building data platforms and pipelines
Experience with AWS, GCP or Azure
Experience with SQL and Python for data manipulation, transformation, and automation
Experience with Apache Airflow for workflow orchestration
Experience with data governance, data quality, data lineage and metadata management
Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
Experience with CI/CD pipelines for continuous deployment and delivery of data products
Experience maintaining technical records and system designs

Job Responsibility

Design, develop, and optimize data platforms, pipelines, and governance frameworks
Enhance business intelligence, analytics, and AI capabilities
Ensure accurate data flows and push data-driven decision-making across teams
Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
Develop and manage CI/CD pipelines to support continuous deployment of data products
Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
Develop and expose REST APIs for sharing data across teams

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Annual incentive program

Fulltime