Data Lead

2 months ago

Coimbatore, India QBrainX Inc Full time

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.

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