Skills:
Data Architecture, ETL Development, SQL, Data Governance, Data Warehousing, Snowflake, data bricks, Azure,
Job Title:Data Engineering Lead / Architect (With Architecture Experience)
Exp level - 10+ years
Location:Coimbatore (Work from Office)
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, 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 in-depth 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 10+ years experience and the technical skills like Snowflake, Azure Databricks etc., need to showcase below 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 DE team members.
Qualifications
- Bachelors or masters 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.
