Data Engineer II
- Uplers
- 2 - 6 years
- Pune
- 1 month ago
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Job Description
Data Engineer IIExperience: 2 - 6 Years Exp
Salary: Competitive
Preferred Notice Period: Within 30 Days
Shift: 9:30 AM to 6:30 PM IST
Opportunity Type: Onsite (Mumbai)
Placement Type: Permanent(*Note: This is a requirement for one of Uplers' Clients)Must have skills required :
Kafka, Amazon AWS, GCP, Redshift, AWS RedshiftShaadi.com (One of Uplers' Clients) is Looking for:
Data Engineer II who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description
We are looking for an experienced Data Engineer having experience in building large-scale data pipelines and data lake ecosystems. Our daily work is around solving interesting and exciting problems against high engineering standards. Even though you will be a part of the backend team, you will be working with cross-functional teams across the org.This role demands good hands-on different programming languages, especially Python, and the knowledge of technologies like Kafka, AWS Glue, Cloudformation, ECS, etc. You will be spending most of your time on facilitating seamless streaming, tracking, and collaborating huge data sets. This is a back-end role, but not limited to it. You will be working closely with producers and consumers of the data and build optimal solutions for the organization. Will appreciate a person with lots of patience and data understanding. Also, we believe in extreme ownership!
- Design and build systems to efficiently move data across multiple systems and make it available for various teams like Data Science, Data Analytics, and Product.
- Design, construct, test, and maintain data management systems.
- Understand data and business metrics required by the product and architect the systems to make that data available in a usable/queryable manner.
- Ensure that all systems meet the business/company requirements as well as best industry practices.
- Keep ourselves abreast of new technologies in our domain.
- Recommend different ways to constantly improve data reliability and quality.
Key Qualifications
- Bachelors/Masters, Preferably in Computer Science or a related technical field.
- 2-5 years of relevant experience.
- Deep knowledge and working experience of Kafka ecosystem.
- Good programming experience, preferably in Python, Java, Go, and a willingness to learn more.
- Experience in working with large sets of data platforms.
- Strong knowledge of microservices, data warehouse, and data lake systems in the cloud, especially AWS Redshift, S3, and Glue.
- Strong hands-on experience in writing complex and efficient ETL jobs.
- Experience in version management systems (preferably with Git).
- Strong analytical thinking and communication.
- Passion for finding and sharing best practices and driving discipline for superior data quality and integrity.
- Intellectual curiosity to find new and unusual ways of how to solve data management issues.
How to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!About Our Client:
Shaadi.com, the world's No.1 Matchmaking platform, pioneered online personals at the turn of the century and has continued to lead the exciting space for 20 years.About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.(Note: There are many more opportunities apart from this on the portal.)So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Pune
Keyskills: GCP Kafka AWS Redshift Data Engineering AWS Redshift
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