- Design and implement data architectures : This involves analyzing business needs, selecting appropriate technologies, and creating blueprints for data ingestion, transformation, storage, and processing using Databricks.
- Build and optimize data pipelines : Develop efficient and reliable data flows that move data from various sources to destinations, ensuring data quality, performance, and security
- Collaborate with stakeholders :
- Proficiency in SQL, Python, and Scala.
- Understanding of big data concepts and frameworks (Spark, Hadoop, etc.).
- Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
- Familiarity with data security and governance best practices.
- Excellent communication and collaboration skills.
- Problem-solving and analytical skills.
- Ability to work independently and as part of a team.)
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Data Architect
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IBST Bengaluru, India**- 10+ years of in-depth experience in enterprise level IT environments supporting SDLC/Agile, 5+ years as Solution Architect with proficiency working in environments supporting solutions design · - Proven expertise in Design and architect multi layered Cloud only / Hybrid netwo ...
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IBST Private Limited Bengaluru, India10+ years of in-depth experience in enterprise level IT environments supporting SDLC/Agile, 5+ years as Solution Architect with proficiency working in environments supporting solutions design · - Proven expertise in Design and architect multi layered Cloud only / Hybrid network f ...
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Quantiphi Bengaluru, IndiaWhile technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. · If working in an environment that encour ...
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Data Architect
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Cloud Data Architect - Bangalore, India - Marktine Technology Solutions
Description
Roles and Responsibilities :
Work closely with data engineers, analysts, and business users to understand requirements, translate them into technical solutions, and communicate effectively.- Monitor and troubleshoot issues : Proactively identify and resolve performance bottlenecks, data quality problems, and other technical challenges in the data pipelines.- Stay up-to-date with the latest technologies : Continuously learn about new features and capabilities of Databricks and related technologies to adapt and improve solutions.- Document and share knowledge : Create clear and concise documentation of architectures, designs, and processes to ensure knowledge transfer and maintainability.
Technical skills :
Soft skills :