Pune, Maharashtra, India
Information Technology
Full-Time
PureSoftware Ltd
Overview
- Provide technical leadership and mentorship to a team of data engineers.
- Design, architect, and implement highly scalable, resilient, and performant data pipelines, using GCP technologies is a plus (e.g., Dataproc, Cloud Composer, Pub/Sub, BigQuery).
- Guide the team in adopting best practices for data engineering, including CI/CD, infrastructure-as-code, and automated testing.
- Conduct code reviews, design reviews, and provide constructive feedback to team members.
- Stay up-to-date with the latest technologies and trends in data engineering,
- Develop and maintain robust and efficient data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources.
- Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
- Collaborate with cross functional teams, and business stakeholders to understand data requirements and deliver data solutions that meet their needs.
- Design and implement secure and scalable data storage solutions
- Manage and optimize cloud infrastructure costs related to data engineering workloads.
- Contribute to the development and maintenance of data engineering tooling and infrastructure to improve team productivity and efficiency.
- Effectively communicate technical designs and concepts to both technical and non-technical audiences.
- Collaborate effectively with other engineering teams, product managers, and business stakeholders.
- Contribute to knowledge sharing within the team and across the organization.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering and Software Development.
- 7+ years of experience of coding in SQL and Python/Java.
- 3+ years of hands-on experience building and managing data pipelines in cloud environment like GCP.
- Strong programming skills in Python or Java, with experience in developing data-intensive applications.
- Expertise in SQL and data modeling techniques for both transactional and analytical workloads.
- Experience with CI/CD pipelines and automated testing frameworks.
- Excellent communication, interpersonal, and problem-solving skills.
- Experience leading or mentoring a team of engineers
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