Data Engineer

Location

Bangalore | India

Job description

We are seeking a talented and experienced Lead Data Engineer to join our growing data team. You will play a key role in building and maintaining our data pipelines, ensuring the quality and reliability of our data assets, and collaborating with data analysts and scientists to unlock insights from our data. You will be a technical leader, mentor, and problem solver, helping us scale our data infrastructure and drive data-driven decision making across the organization.

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Responsibilities:

• Design, develop, test, and deploy software applications using Python, SQL, Tand ETL tools.
• Collaborate with cross-functional teams to gather requirements and ensure software solutions meet business needs.
• Write clean, efficient, and well-documented code that adheres to industry standards and best practices.
• Participate in code reviews and provide constructive feedback to team members.
• Troubleshoot and debug software issues and collaborate with the operations team to resolve production issues.
• Stay up to date with emerging technologies and tools, and apply this knowledge to improve software development processes and techniques.
• Mentor junior developers and provide guidance on software development best practices.

Requirements:

• Bachelor s degree in computer science or related field (equivalent experience accepted).
• Minimum of 12 years of experience in software development using Python, SQL, and ETL tools.
• Strong understanding of software development principles, patterns, and best practices.
• Demonstrated experience with Agile software development methodologies.
• Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team.
• Excellent written and verbal communication skills in English.
• Understanding of version control systems (e.g., Git).

Preferred Qualifications:

• Experience with cloud-based platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Knowledge of DevOps practices and tools (e.g., CI/CD pipelines, infrastructure as code).
• Understanding of data modeling and database design.
• Experience with automated testing frameworks and tools.

Job tags

Salary