Your space-enabled career begins here

ROLE DESCRIPTION SUMMARY

Space Programs software development team focuses on development of software solutions supporting current, next-generation MEO/GEO space and ground assets. The global team consists of system architects, software engineers, software architects, test & integration engineers. We are looking for a Data Engineer to join our team. As part of the team, you will play a key role in design, development, and validation of multiple data solutions for MEO & GEO space programs. You are ideally someone who can thrive in a high-pace environment, have a curious mind, and like learning new things. Plus, you’re a true team player who values collaboration, knows that the best ideas come from working together, and loves helping others succeed just as much as yourself!

PRIMARY RESPONSIBILITIES / KEY RESULT AREAS

• Design and build robust data architectures using Azure Data Services, including Azure Data Lake, Azure Synapse Analytics, and Azure SQL
• Implement and optimize real-time data pipelines using Apache Spark, Databricks, and Kafka
• Develop, test, and deploy data solutions using Python and CI/CD pipelines
• Manage infrastructure as code with Terraform for seamless deployments
• Desirable certifications,
o Microsoft Certified: Azure Data Engineer Associate
o Microsoft Certified: Azure Solutions Architect Expert
o Databricks Certified Associate Developer for Apache Spark
• Coordinate and share information and knowledge with other development, test and operations teams, fostering effective communication
• Actively participate in knowledge-sharing sessions with team members and subject matter experts, con-tributing to a collaborative and learning-oriented environment
• Document input from stakeholders and operations, showcasing the developed solutions and addressing any inquiries to ensure customer satisfaction
• Maintain comprehensive technical documentation, capturing key aspects of the software development process and system architecture for future reference and knowledge transfer
• Foster and enhance culture of collaboration and excellence in everything
• Nice to have, Experience with machine learning frameworks and AI tools in Azure

COMPETENCIES

• Demonstrates a strong ability to work independently, aligning work with high-level objectives and long-term goals.
• Exhibits high motivation and adept prioritization skills, consistently delivering results within tight dead-lines while working towards overarching objectives.
• Works autonomously and proactively takes initiatives when necessary.
• Possess outstanding communication and presentation skills, conveying complex technical information to both technical and non-technical audiences.
• Demonstrates a quick and decisive approach to problem-solving, addressing challenges promptly and effectively.
• Displays effective intercultural awareness, contributing to a collaborative and inclusive work environ-ment.
• Proactively fosters a mindset of helping others succeed, evidenced by a track record of mentoring and supporting team members in achieving their goals.

QUALIFICATIONS & EXPERIENCE

• Bachelor or Master’s degree in Computer Science, Software Engineering, or a related technical field
• Certifications such as Azure Data Engineer Associate, Databricks Certified Associate Developer are highly desirable.
• 7+ years of experience in data engineering roles, with a strong focus on designing and implementing large-scale data pipelines and solutions using Azure services
• Expert in developing and deploying data pipelines for processing data from streaming and batch data sources
• Hands-on experience setting up databricks environment in Azure, spark clusters, Unity Catalog, delta live tables, scalable and sustainable data engineering jobs
• Experience designing data flows, building data strategy and documenting the process
• Expert knowledge in Azure Datalake, Azure Data Factory, Azure Log Analytics, Delta Lake, Kafka, Struc-tured Streaming, DataFrame API, SQL, NoSQL Database
• Experience with performance tuning, use of CLI and REST API, cost optimization for Databricks com-pute and storage
• Experience working in Azure services like Azure Key Vault, Azure Functions, Azure VNET
• Experience designing and developing database tables and/or schemas using SQL/No-SQL;
• Experience monitoring and maintaining the data pipelines and jobs
• Experience setting up data zones in delta lake and implementing fine grained access control
• Experience working in Power BI to setup data flows, create DAX queries, reports and dashboards with near real time updates
• Comfortable with API, Git, Notebooks, Spark Jobs, Performance tuning, Container-based deployments, Terraform
• Familiarity with Data Streaming Architecture, Azure Synapse, Azure NSG, data catalog, Azure Purview a plus
• Preferably Databricks Developers Associate Certified
• Proficient Python for data manipulation, automation, and scripting
• Demonstrated experience in designing end-to-end data architectures for long-term storage and real-time data streaming solutions
• Experience with data security, governance, and performance optimization on Azure
• Experience with SQL and NoSQL databases.
• Familiarity with Azure Machine Learning and AI services (preferred but not mandatory).