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109 Visa Jobs
Cloud Data Platform Engineer
Visa
posted 8d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Visa is seeking a highly skilled and experienced Cloud Data Platform Engineer to join our dynamic team. The successful candidate will be responsible for designing, implementing, and managing cloud-based data platforms to support our data-driven initiatives.
- This role requires a deep understanding of cloud infrastructure, data engineering, and data management best practices.
Key Responsibilities:
- Design, develop, and maintain scalable and reliable cloud-based data platforms.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide solutions.
- Help and guide to implement data integration pipelines to ingest, process, and store large volumes of data from various sources.
- Ensure data quality, integrity, and security by implementing appropriate data governance practices.
- Monitor and optimize the performance, scalability, and cost-efficiency of the data platform.
- Automate infrastructure provisioning and deployment processes using Infrastructure as Code (IaC) tools.
- Stay up to date with the latest cloud technologies, data engineering practices, and industry trends.
- Provide technical guidance and mentorship to junior engineers and team members.
Basic Qualifications
7+ years of relevant work experience with a Bachelor s Degree or Advanced degree (eg Masters, MBA, JD, MD) OR 8+ years of relevant work experience.
7+ years of experience in cloud data platform engineering, on-prem big-data platform engineering.
Hands-on experience with IaC tools such as Terraform or CloudFormation.
Proficiency in programming languages such as Python, Java, or Scala.
Strong expertise in cloud platforms such as AWS & Azure.
Experience with data integration tools and technologies.
Architecting and building platforms
Experience on AWS Athena, Glue, Azure Fabric, EMR, Databricks.
Excellent problem-solving, communication, and collaboration skills.
Strong understanding of data governance, security, and compliance best practices.
Strong knowledge on Hadoop Big data eco systems.
Bachelors degree in Computer Science, or related technical discipline. With 1+ years of software development experience
Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Python
Experience in building platforms on Public Cloud like AWS, Azure as well as top of Big Data open source platforms like Hadoop/Hive/Spark/Tez.
Contributions to one or more Big Data Open Source Technologies like Hadoop/Hive/Spark/Tez etc will be an added plus.
7+ years of relevant work experience with a Bachelor s Degree or Advanced degree (eg Masters, MBA, JD, MD) OR 8+ years of relevant work experience.
7+ years of experience in cloud data platform engineering, on-prem big-data platform engineering.
Hands-on experience with IaC tools such as Terraform or CloudFormation.
Proficiency in programming languages such as Python, Java, or Scala.
Strong expertise in cloud platforms such as AWS & Azure.
Experience with data integration tools and technologies.
Architecting and building platforms
Experience on AWS Athena, Glue, Azure Fabric, EMR, Databricks.
Excellent problem-solving, communication, and collaboration skills.
Strong understanding of data governance, security, and compliance best practices.
Strong knowledge on Hadoop Big data eco systems.
Bachelors degree in Computer Science, or related technical discipline. With 1+ years of software development experience
Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Python
Experience in building platforms on Public Cloud like AWS, Azure as well as top of Big Data open source platforms like Hadoop/Hive/Spark/Tez.
Contributions to one or more Big Data Open Source Technologies like Hadoop/Hive/Spark/Tez etc will be an added plus.
Employment Type: Full Time, Permanent
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based on 357 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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