Data Engineering Lead
4 weeks ago
Job Title : Data Engineering Lead (With Architecture Experience)
Location : Coimbatore
Position Type : Full-Time
Key Responsibilities :
Architect and Design Data Solutions :
- Collaborate with cross-functional teams to understand business requirements and design scalable and efficient data solutions.
- Define data architectures, data models & data integration strategies to meet business objectives.
- Provide technical leadership in designing and implementing data pipelines, ETL processes, and data warehousing solutions.
Snowflake Expertise :
- Leverage your in depth knowledge of Snowflake technologies to build and optimize data warehouses.
- Develop & maintain Snowflake data models and schemas to support reporting & analytics needs.
- Familiarity with Snowflake best practices, such as cost analysis, resource allocation, data loading strategies (e.g., bulk loading, incremental loading), and security configurations
Azure and Databricks Proficiency :
- Utilize Azure cloud services and Databricks platforms to manage and process large datasets efficiently.
- Build, deploy, and maintain data pipelines on Azure Data Factory, Azure Databricks, and other Azure services.
Data Warehousing and Integration :
- Implement best practices for data warehousing, ensuring data quality, consistency, and reliability.
- Create and manage data integration processes, including real-time and batch data movement between systems.
SQL and PL/SQL Mastery :
- Write complex SQL and PL/SQL queries to extract, transform, and load data effectively.
- Optimize SQL queries and database performance for high volume data processing.
Performance Tuning and Optimization :
- Continuously monitor and enhance the performance of data pipelines and data storage systems.
- Troubleshoot and resolve data-related issues to minimize downtime.
Documentation and Collaboration :
- Document data engineering processes, data flows, and architectural decisions.
- Collaborate with data scientists, analysts, and other stakeholders to ensure data availability and usability.
Security and Compliance :
- Implement data security measures and adhere to compliance standards (e.g., GDPR, HIPAA) to protect sensitive data.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Over 10 years of experience in Data Engineering, with a strong focus on architecture.
- Proven expertise in Snowflake, Azure, and Databricks technologies.
- Comprehensive knowledge of data warehousing concepts, ETL processes & data integration techniques.
- Exceptional SQL and PL/SQL skills.
- Experience with performance tuning and optimization of data pipelines.
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Excellent communication skills to convey technical concepts to non-technical stakeholders.
- Certifications in relevant technologies (e.g., Snowflake, Azure) are a plus.
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