
Senior Data Engineer
2 weeks ago
We are seeking a Senior Data Engineer with a minimum of 7 years of hands-on experience who can both lead a team and make active contributions as an individual. The ideal candidate will have a strong background in data engineering, architecture, and pipeline development, along with the leadership ability to guide, mentor, and manage a team of data professionals.
Key Responsibilities:-
Design, build, and maintain scalable data pipelines and architectures.
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Lead and mentor a team of data engineers, ensuring project goals and deadlines are met.
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Collaborate with Data Scientists, Analysts, and cross-functional teams to ensure data availability and quality.
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Optimize and improve existing data systems for better performance and scalability.
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Actively participate in coding, troubleshooting, and system design alongside the team.
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Ensure best practices in data governance, security, and compliance.
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Drive innovation by evaluating new tools, technologies, and methodologies.
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Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
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7 years of proven experience in data engineering roles.
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Strong expertise in SQL, Python/Scala/Java, and data pipeline development.
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Hands-on experience with big data tools (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP).
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Solid understanding of data modeling, ETL processes, and data warehouse/lake design.
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Prior experience leading and managing a team of engineers.
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Excellent problem-solving skills and ability to manage multiple priorities.
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Strong communication and leadership abilities.
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Experience with machine learning pipelines and MLOps.
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Knowledge of containerization tools (Docker, Kubernetes).
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Exposure to BI tools (Tableau, Power BI, Looker).
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