Senior Data Engineer

About the Role:

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.
• Lead and mentor a team of data engineers, ensuring project goals and deadlines are met.
• Collaborate with Data Scientists, Analysts, and cross-functional teams to ensure data availability and quality.
• Optimize and improve existing data systems for better performance and scalability.
• Actively participate in coding, troubleshooting, and system design alongside the team.
• Ensure best practices in data governance, security, and compliance.
• Drive innovation by evaluating new tools, technologies, and methodologies.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years of proven experience in data engineering roles.
• Strong expertise in SQL, Python/Scala/Java, and data pipeline development.
• Hands-on experience with big data tools (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP).
• Solid understanding of data modeling, ETL processes, and data warehouse/lake design.
• Prior experience leading and managing a team of engineers.
• Excellent problem-solving skills and ability to manage multiple priorities.
• Strong communication and leadership abilities.

Good to Have:

• Experience with machine learning pipelines and MLOps.
• Knowledge of containerization tools (Docker, Kubernetes).
• Exposure to BI tools (Tableau, Power BI, Looker).