Roundel
Ad Tech
SrEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Engineer at Roundel. Skills: Data Engineering, Big Data Technologies, ETL/ELT, Spark. Design data pipelines. Develop data pipelines”
What You'll Achieve.
Deliver scalable data solutions; Deliver reliable data solutions; Deliver high-quality data solutions; Empower business teams with insights; Ensure performance of data solutions; Ensure scalability of data solutions; Ensure reliability of data solutions; Develop solutions that can be deployed quickly; Develop solutions that can be deployed in automated fashion
Industry & Context.
Analyze technical issues; Identify data needs; Identify delivery mechanisms; Solve tech challenges
What They're Looking For.
Must Have
5+ years of software development experience, Hands on Experience in Object Oriented or functional programming, Knowledge or experience with a variety of database technologies, Knowledge with design of data integration using API and streaming technologies, Knowledge or experience in designing various data models, Be able to understand the data, draw insights and make recommendations, Be able to identify any data quality issues upfront, Experience with test-driven development, Follow best coding practices & engineering guidelines, written and verbal communication skills
Nice to Have
data engineering/Hadoop development (Hive, Pig, Sqoop, Spark, etc. ), Scala / Python, HBase, Postgres, Teradata, Cassandra, SQL Server, Oracle, Kafka, ETL, CI/CD toolchain (Drone, Jenkins, Vela, Kubernetes), Druid, software test automation
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Build foundational datasets
Optimize foundational datasets
Architect data workflows
Implement data workflows
Write production-grade code
Configure data platforms
Integrate data platforms
Debug complex systems
Convert business requirements
Build performant APIs
Embrace DevOps mentality
Build solutions for availability
Build solutions for scalability
Manage development cycle
Develop test-driven solutions
Provide technical guidance
Develop BI Applications
Drive resolution of roadblocks
Advocate for technologies
Guide values of Data Engineering
Ensure code adheres to standards
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with business stakeholders; Collaborate with analysts; Collaborate with technical partners; Contribute hands-on to development efforts; Support growth of junior engineers; Support mentoring of lead engineers; Work with global team
Communication Scope
Present complex technical information; Clear and concise communication; Communicate to variety of audiences
Process & Methodology
Manage overall development cycle, Manage and execute against agile plans, Set deadlines based on requirements
Full Job Description
**About us:** Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. [Learn more about Target here](https://corporate.target.com/about). The Data Engineer plays a key role in delivering scalable, reliable, and high-quality data solutions that empower business teams with timely, accurate, and actionable insights. This role combines hands-on engineering expertise with technical leadership across a global data engineering team. * The Data Engineer is responsible for designing, developing, and maintaining robust data pipelines, distributed systems, and large-scale data platforms using modern Big Data technologies. The role involves building and optimizing foundational datasets that support reporting, analytics, and advanced data use cases across business units and internal stakeholders. * Key responsibilities include architecting and implementing efficient data workflows, writing high-quality production-grade code, configuring and integrating data platforms, debugging complex systems, and ensuring performance, scalability, and reliability of data solutions. * This role requires close collaboration with cross-functional teams, including business stakeholders, analysts, and technical partners, to translate requirements into well-designed data products. The ideal candidate is a highly motivated data engineering professional who thrives in a collaborative environment, contributes hands-on to development efforts, and supports the growth and mentoring of junior and lead engineers within a growing global team. As a Senior Data Engineer at Roundel , you’ll take the lead as you… * Assess client needs and convert business requirements into business intelligence (BI) solutions roadmap relating to complex issues involving long-term or multi-work streams. * Analyze technical issues and questions identifying data needs and delivery mechanisms * Implement data structures using best practices in data
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