Data Engineering Lead
1 week ago
Experience Level: More than 10 years
Location: Coimbatore
Position Type: Full-Time
No of Opening: 2
- Immediate Joiner (OR) Who can join us within 15 to 20 days is preferred.
Key Responsibilities:
Architect and Design Data Solutions:
- Collaborate with crossfunctional teams to understand business requirements and design scalable and efficient data solutions.
- Define data architectures, data models, and 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 indepth knowledge of Snowflake technologies to build and optimize data warehouses.
- Develop and maintain Snowflake data models and schemas to support reporting and 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.
Apart from more than 10 years' experience and the technical skills like Snowflake, Azure Databricks etc.
It is vital to exhibit the following abilities:
- Initiate and drive data engineering strategies.
- Assist and engage with Data engineering sales, proposal activities.
- Develop strong customer relationships for ongoing business.
- Experienced with the Cloud-based Data Solution Architectures, especially in Snowflake.
- Experience with client engagement & aligning others to your ideas/solutions.
- Experience leading a technical team.
- Ability to clarify/translate customer requirements into Epics/Stories & remove ambiguity.
- Ability to mentor other Data Engineering team members.
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, and 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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