Data Engineering Team Lead Position
4 weeks ago
About the Role:
We are seeking an experienced Data Engineer to lead our team in delivering cutting-edge Business Intelligence and Advanced Analytics solutions. The ideal candidate will have a strong background in data engineering, expertise in AWS and cloud-based solutions, and excellent leadership skills.
Responsibilities:
- Collaborate with business partners to design, build, and maintain scalable and reliable data pipeline architectures.
- Lead the technical architecture design of data platforms, ensuring optimal performance and security.
- Provide technical leadership in Big Data technologies (e.g., Hadoop, Spark, NoSQL, Snowflake).
- Develop reusable, scalable ETL frameworks and pipelines for metadata-driven tools and processes.
- Refactor code into reusable libraries, APIs, and tools.
- Create and own the technical product backlogs, ensuring timely closure.
About You:
The successful candidate will have at least 10 years of professional experience, with a minimum of 6-8 years in Data Engineering. Key skills include SQL, Python/Java/Scala, and AWS cloud solutions (S3, Redshift, Glue, Lambda). Experience in Big Data technologies (e.g., Spark, Hadoop) and Agile delivery is also essential.
What We Offer:
A competitive salary of $180,000 - $250,000 per annum, depending on experience. In addition, you will have the opportunity to work with a global team, deliver transformative projects, and be part of a company that values innovation, excellence, and collaboration.
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