Data Engineering Lead/Architect

4 weeks ago

CoimbatoreTamil NaduKerala, India QBrainX Full time

Job Title : Data Engineering Lead / Architect

Exp level - 10+ years

Location : Remote

Position Type : Full-Time

Key Responsibilities :

Data Solution Design and Architecture :

- 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.

Data Engineering Expertise :

- Leverage expertise in Snowflake, Azure, and Databricks technologies to build and optimize data warehouses.

- Develop and maintain data models and schemas to support reporting and analytics needs.

- Familiarity with best practices, such as cost analysis, resource allocation, data loading strategies (e.g., bulk loading, incremental loading), and security configurations.

Technical Leadership :

- Utilize technical expertise to manage and process large datasets efficiently on Azure cloud services and Databricks platforms.

- Build, deploy, and maintain data pipelines on Azure Data Factory, Azure Databricks, and other Azure services.

Data Quality 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.

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.

Requirements :

- 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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