
Team Lead - Data Engineer (Java, GCP, Big Data, SQL)
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At a glance
Job overview
Nucleusteq is hiring a Team Lead - Data Engineer (Java, GCP, Big Data, SQL). Nucleusteq is seeking an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms. This role involves building and optimizing large-scale data pipelines, driving architectural decisions, and ensuring data quality and security. The successful candidate will also lead and mentor a team of data engineers and collaborate with cross-functional teams.
Key focus areas include Design and architect scalable, high-performance data solutions, Lead and mentor a team of data engineers, and Build and optimize large-scale data pipelines.
Important skills include Java, SQL, Big Data Technologies, GCP, Apache Airflow, and Distributed Systems. Preferred (not required): Dataflow, Apache Beam, and DevOps Best Practices.
Skills & qualifications
Skills
Qualifications
Full job description
Position: Team Lead – Data Engineering
We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.
Key Responsibilities:
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Design and architect scalable, high-performance data solutions.
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Lead and mentor a team of data engineers.
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Build and optimize large-scale data pipelines.
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Drive architectural decisions and technical strategy.
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Ensure data quality, governance, and security best practices.
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Collaborate with cross-functional teams for end-to-end delivery.
Required Skills:
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Strong hands-on experience in Java .
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Strong expertise in SQL and Big Data technologies.
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Hands-on experience with Google Cloud Platform (GCP).
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Experience with Apache Airflow for workflow orchestration.
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Strong understanding of distributed systems and data architecture.
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Experience in CI/CD pipelines (mandatory).
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Experience in data warehousing and ETL processes.
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Excellent leadership and stakeholder management skills.
Good to Have:
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Experience with Dataflow (Apache Beam).
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Experience designing enterprise-level data platforms.
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Exposure to DevOps best practices.
Why Join Us?
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Work on cutting-edge cloud data projects.
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Leadership opportunity with high ownership.
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Dynamic and growth-oriented work environment.
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