
Senior Data Science Leader
4 days ago
Job Summary:
- We are seeking a Data Engineer to develop high quality, secure and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO.
- The ideal candidate will leverage technologies and solutions to innovate with increasingly large data sets.
- You will drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration.
About the Role:
- Developing high-quality, secure, and scalable data pipelines using Spark, Scala/Python/Java on Hadoop or object storage like MinIO.
- Leveraging technologies and solutions to innovate with increasingly large data sets.
- Driving automation and efficiency in data ingestion, data movement, and data access workflows through innovation and collaboration.
- Understanding, implementing, and enforcing software development standards and engineering principles in the Big Data space.
- Contributing ideas to ensure that required standards and processes are in place and actively looking for opportunities to enhance standards and improve process efficiency.
- Performing assigned tasks and production incidents independently.
- 5-9 years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organizations.
- Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environments handling petabyte-scale data.
- Solid experience building complex data pipelines through Spark with Scala/Python/Java on Hadoop or object storage.
- Experience working with databases like Oracle, Netezza, and strong SQL knowledge.
- Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews.
- Strong analytical skills required for debugging production issues, providing root cause, and implementing mitigation plans.
- Strong communication skills - both verbal and written.
- Ability to multitask across multiple projects, interface with external/internal resources.
- Proactive, detail-oriented, and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results.
- Willingness to quickly learn and implement new technologies, participate POC to explore best solutions for problem statements.
- Experience building Nifi pipelines (preferred).
- A competitive compensation package.
- A collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
Let's discuss this opportunity further
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