Air Products jobs - Cloud Data Engineer
Cloud Data Engineer
0 to3 Years
Salary not disclosed
Posted:
4 Years ago
Views:
Applications:
Openings:
1
Job Description
PRINCIPAL ACCOUNTABILITIES
- Build and maintain data pipelines in support of the enterprise AWS S3 Data Lake.
- Contribute to the core design of data architecture, data pipelines, data models and schemas, and implementation plans for the data lake
- Enable an innovative approach to data platforms in order to greatly increase the flexibility, scalability, and reliability of IT services at an optimal cost
- Work in cross-disciplinary teams to understand enterprise needs and ingest rich data sources.
- Work with analytics and data science team members to optimize data platforms to better meet their needs
- Maintain the proper infrastructure to support ETL from a variety of sources using SQL, SAP Data Services, and big data technologies
- Design ETL processes based on enterprise architecture and custom project needs
- Perform design reviews, plan, develop, and resolve technical issues
- Work closely with management to prioritize business and information request backlogs
- Ensures data governance and data security procedures are followed
- Implement data warehouses on platforms such as AWS Redshift
- Research, experiment, and utilize leading data and analytics technologies in AWS
- Educate and train yourself and others as you evangelize the merits of data and analytics
- Be proactive in keeping your skills fresh
- Generate new ideas, never say or think 'that's not my job.'
- 6+ years as a Python, PySpark, Scala, Java software developer building scalable real-time streaming ETL applications and data warehouses.
- Advanced experience working within the AWS and AWS tools (S3, Glue, EMR, Athena, Redshift)
- Advanced programming experience with Python and PySpark
- Experienced in maintaining infrastructure as code using Terraform
- Advanced understanding of both SQL and NoSQL technologies such as MongoDB / DocumentDB
- Solid understanding of data warehouse design patterns and best practices
- Experience in working with and processing large data sets in a time-sensitive environment while minimizing errors
- Hands-on experience working with big data technologies (Hadoop, Hive, Spark, Kafka)
- Ability to develop test plans and stress test platforms
- Demonstrated strength in process development, process adherence, and process improvement
- Experience with complex Job scheduling
- Experience integrating external APIs
- Active in the Data Science / Data Engineering community
- Effective analytical, conceptual, and problem-solving skills
- Must be organized, disciplined, and task/goal oriented
- Able to prioritize and coordinate work through interpretation of high-level goals and strategy
- Effective team player with a positive attitude
- Strong oral and written English language communications skills
Job Particulars
Education
BCA, BE/B.Tech, BSc, Other Course
Who can apply
Freshers and Experienced (0 to3 Years )
Hiring Process
Face to Face Interview
Employment Type
Full Time
Job Id
477752
Job Category
IT/Software , BSc/BCA/BBM
State
Maharashtra
Country
India
About Company
Air Products
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