Data Engineer
6 days ago
Main Target Summary :
- Experience working on AWS glue, S3, Redshift, EMR with exposure to other services on the AWS landscape.
- Experience working on Azure Data Factory and Datawarehouse
Hybrid - Bangalore
Salary : Max 20 LPA
Notice Period : Immediate/15 Days
Relevant years of experience required : 3 - 5 years
Time : 12 PM - 9 PM IST
Job Title : Data Engineer
Tasks Summary & Responsibilities :
- Relevant experience in application development, maintenance, and support, preferably on AWS glue, S3, Redshift, EMR and other AWS landscape.
- Relevant experience in creating pipelines in ADF with strong SQL skills.
- Hands-on knowledge of Data Warehouse architecture, and best practices,
- Ability to create, maintain and optimize queries, views and stored procedures. Should be able to analyse and understand complex queries.
- Good knowledge in Pyspark scripting.
- Strong ETL knowledge, with Hands-on experience on ETL tools, preferably AWS glue or Azure data factory.
- Ability to work with large volumes of data from multiple sources; Should be able to design the data flow, extract data from different sources, enrich and present in a format ready to address business needs.
- Solid experience in performance tuning of queries and applications. Should be able to continuously review the design of applications, recommending changes for better performance.
- Ability to focus on performance optimization of the landscape and individual applications, by continuously monitoring the system to ensure optimal performance at all times
Educational Degree : Any Degree
Professional Experience :
- Strong data warehousing experience, preferably on AWS glue, S3,EMR, Redshift, any ETL , Pyspark
Special Qualifications, Knowledge & Skills :
- Hands-on knowledge of data warehousing concepts, Strong SQL knowledge and AWS environment.
- Exposure to other services on the AWS landscape
- Prior experience in the manufacturing industry, and understanding of SAP ERP is desirable
- Should be able to work at all levels of development from analysis through implementation and support, with minimal supervision
- Fluent in English both written and spoken
- Excellent interpersonal and communication skills (ref:hirist.tech)
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