
Data Platform Developer
6 days ago
We are seeking a highly skilled Data Engineer to design and maintain a robust data platform.
- Design, develop, and maintain a data platform that is accurate, secure, available, and fast.
- Engineer efficient, adaptable, and scalable data pipelines to process data.
- Integrate and maintain diverse data sources, including databases, APIs, SaaS, files, logs, and events.
- Create standardized datasets to support a wide variety of use cases.
- Develop subject-matter expertise in tables, systems, and processes.
- Partner with product and engineering teams to ensure product changes integrate well with the data platform.
- Collaborate with diverse stakeholder teams, understand their challenges and empower them with data solutions to meet their goals.
- Perform data quality checks and automate quality control processes.
Key Responsibilities Include:
- Building scalable data pipelines using AWS data pipelines (Lambda, AWS glue, Step functions, etc.).
- Designing, developing, and maintaining a data platform using Star/Snowflake schema design, data modeling, data pipelining, and MLOps.
- Collaborating with teams to deliver effective data solutions.
Requirements:
- At least 5+ years of experience as a Data Engineer.
- Hands-on experience with SQL and at least one major programming language like Python or Java.
- Experience with Data Analysis Tools such as Looker or Tableau.
- Experience with Pandas, Numpy, Scikit-learn, and Jupyter notebooks preferred along with familiarity in Git, GitHub, and JIRA.
- Having an eye for detail to catch and resolve data quality issues.
- Look for opportunities to simplify, automate tasks, and build reusable components.
- End-to-end data platform support experience.
- Build strong relationships with analysts, business, and engineering stakeholders.
- Independent, able to prioritize well, break down ambiguous problems into actionable tasks and execute them.
- Familiar with agile methodologies.
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