Software Engineering Lead
Bechtel View all jobs
- New Delhi
- Permanent
- Full-time
- Relocation Authorized: None
- Telework Type: Full-Time Office/Project
- Work Location: New Delhi
- Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks. Define and enforce best practices for data ingestion, storage, processing, and retrieval.
- Optimize data workflows to ensure high performance and cost efficiency.
- Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.
- Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions. Collaborate with security teams to perform regular audits and vulnerability assessments.
- Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.
- Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions. Drive agile practices and ensure timely delivery of projects.
- Oversee the deployment and management of Azure Data Lake and Databricks environments
- Implement monitoring and alerting systems to ensure system reliability and performance. Evaluate and incorporate new Azure services and technologies to enhance the data platform.
- Develop and execute a roadmap for data engineering aligned with business objectives.
- Stay abreast of industry trends and advancements in data engineering and Azure technologies.Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 8+ years of experience in data engineering, with at least 3 years in a leadership role.
- Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.
- Proven expertise in architecting and implementing large-scale data solutions.
- Proficiency in SQL.
- Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.
- Experience with data modeling, ETL pipelines, and big data technologies.
- Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.
- Strong leadership and team management abilities.
- Excellent communication and stakeholder management skills.
- Analytical mindset with a proactive approach to problem-solving.
- Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.
- Experience with implementing data lakehouse architectures.
- Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA