About this role
Position Overview Employees in this job function are responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying the software to meet customer requirements. Full-stack software engineering roles who can develop all components of software, including user interface and server-side, also fall within this job function. Key Responsibilities • Engage with customers to deeply understand their use cases, pain points, and requirements, showcasing empathy and advocating for user-centric software solutions • Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies like agile, and technologies • Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc. • Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application • Collaborate with cross-functional teams such as product owners, designers, and architects • Define and implement software test strategy, guidelines, policies, and processes in line with organization vision, industry regulations, and market best practices • Work on continuously improving performance and optimizing the application, and implement new technologies to maximize development efficiency • Apply programming practices such as test-driven development, continuous integration, and continuous delivery • Support security practices to safeguard user data, including encryption and anonymization • Create user-friendly and interactive interfaces • Develop and maintain back-end applications such as APIs and microservices using server-side languages • Evaluate and incorporate emerging technologies and capabilities to deliver solutions, monitoring and participating in solutions for new stack layers Experience Required • 5 years of progressive experience in data engineering or a related role with a significant focus on large-scale data systems • Expert proficiency in programming languages such as Python or Scala • Advanced SQL skills for complex querying, data manipulation, and database design • Extensive experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka, Flink) • Proven experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., AWS Glue, S3, Redshift, Athena; Azure Data Factory, Databricks; Google BigQuery, Dataflow) • Strong understanding of data warehousing concepts, data modeling (dimensional and relational), and ETL/ELT processes • Experience with version control systems (e.g., Git) • Excellent problem-solving, analytical, and critical thinking skills • Strong communication and interpersonal skills with the ability to lead discussions and present technical information clearly
Posted by Bartech Staffing on behalf of a vetted Big Three US automaker client. Your recruiter confirms the exact rate when you connect.