Build_MS_AG_INS_DataPB(India)

Job Description:

Basic Qualifications

• Experience: Minimum of 12+ years in data management, data engineering, or related fields, with 5-7 years in a dedicated data engineering or data architecture role.
• Data Modeling and Architecture: Proven experience in designing and implementing data architectures for scalability and performance, including dimensional modeling and schema design.
• SQL Proficiency: Advanced knowledge of SQL for data querying, transformation, and database management tasks.
• PowerBI Experience

Required Skills

• Cloud Data Warehousing: Hands-on experience with cloud data warehousing platforms, such as AWS Redshift or Snowflake, with at least one completed project showcasing independent implementation.
• ETL Development: Proficiency in building and managing ETL workflows using platforms such as AWS Glue or SQL-based ETL tools.
• Database Management and Optimization: Strong skills in database management, query optimization, and performance tuning for large datasets.
• Power BI platform creation and dashboard development.

Desired Qualifications

• Data Transformation and Processing: Expertise in data cleansing, transformation, and structuring techniques to prepare data for analytics, particularly within DSDP or similar platforms.
• Cloud Computing and Infrastructure: Working knowledge of key AWS services (e.g., S3, Lambda, and Glue), with a focus on integrating these services within a scalable data architecture.
• Project Management: Demonstrated ability to independently manage data engineering projects, from planning and design to execution and optimization.
• Advanced Data Warehouse Concepts: Familiarity with best practices for data warehousing, including star and snowflake schemas, and experience in implementing data marts or data lakes.

Nice-to-Have Skills

• Data Security and Compliance: Understanding of data security practices, including encryption, access control, and compliance, particularly in cloud environments.
• Business Intelligence and Reporting: Basic exposure to BI tools such as Power BI, with an understanding of how data architectures support dashboard and reporting needs.

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