Bangalore, Karnataka, India
Information Technology
Full-Time
MagellanicCloud
Overview
What You'll Do
(ref:hirist.tech)
- Data Governance Leadership : Drive the implementation and adherence to data governance frameworks, policies, and standards, ensuring data quality, privacy, and security across the enterprise.
- Data Architecture Design : Architect scalable, resilient, and high-performance data solutions that meet current and future business needs. This includes designing data lakes, data warehouses, and operational data stores.
- Data Modeling Expertise : Lead the design and development of conceptual, logical, and physical data models for various data initiatives, ensuring data integrity and optimal performance.
- ETL Process Optimization : Design, develop, and optimize efficient ETL (Extract, Transform, Load) processes to ingest, transform, and load large datasets from diverse sources into our data platforms.
- Data Warehousing Strategy : Oversee the strategy, design, and implementation of enterprise data warehousing solutions, ensuring they support advanced analytics and reporting requirements.
- Large Dataset Management : Apply expertise in working with and managing very large datasets, addressing challenges related to volume, velocity, and variety.
- Problem-Solving : Utilize strong analytical and problem-solving skills to diagnose complex data issues and propose effective, sustainable solutions.
- Collaboration & Communication : Collaborate seamlessly with cross-functional teams, including business stakeholders, data scientists, software engineers, and IT operations, effectively communicating complex data concepts and architectural We're Looking For :
- Experience : 10+ years of hands-on experience as a Data Architect or in a similar senior data leadership Skills (Mandatory) :
- Strong expertise in Data Governance principles and implementation.
- Extensive experience in Data Architecture design and strategy.
- Deep proficiency in Data Modeling (conceptual, logical, physical) and database design.
- Hands-on expertise with ETL (Extract, Transform, Load) processes and tools.
- In-depth knowledge of Data Warehousing concepts, design, and implementation.
- Technical Acumen : Proven experience working with large datasets, including performance
- Problem-Solving : Excellent analytical and problem-solving skills, with a keen eye for detail.
- Communication : Exceptional communication and collaboration skills, with the ability to
- Education : Bachelor's or Master's degree in Computer Science, Information Technology, or a
(ref:hirist.tech)
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