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Senior Data Engineer
Xoom
posted 2mon ago
Job Role Insights
Job Description
- Collaborate with cross-functional teams to understand business requirements and deliver scalable solutions.
- Define, architect, and manage the full lifecycle of data products.
- Employ creative thinking and innovative approaches to problem-solving.
- Proactively identify potential issues and communicate them effectively to both the team and management.
- Thrive in a fast-paced environment, adapting quickly to ambiguous problem statements.
- Deliver high-quality results from initial concepts.
Your day to day
In this role, the individual will be part of the Data engineering team and will be responsible for.
- Participating and collaborating with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.
- Planning the execution of the project in an effective and efficient manner.
- Approaching the problem, taking into account all possibilities and options.
- Creativity and out of the box thinking is required.
- Proactively anticipating problems and appropriately communicating to the team and management in a timely manner.
- Being flexible and being able to support all functions of product life cycle when required.
- Ability to work in a fast-paced environment.
- Ability to deliver from coarse grained requirements.
- Be a Mentor for the junior members in the organization.
What do you need to bring-
- 6 + years of experience in the IT industry, experience in Data Technology space is preferred.
- Proficiency on Google Cloud Platform, Big Data, Streaming Integrations
- Knowledge in any programming language like Java, Python, Scala, and Spark
- Working experience in any MPP systems, should have strong SQL programming skills.
- Knowledge of data warehousing concepts
- Excellent written and oral communication skills
- Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.
- Expertise in database programming and performance tuning techniques
- Familiar with data movement techniques and best practices to handle large volumes of data.
- Experience with data warehousing architecture and data modeling best practices
- Experience with File Systems, server architectures, and distributed systems
- Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.
- Working experience in an Agile methodology is highly preferred.
- Knowledge of Hadoop, Spark, HBase and Hive is highly preferred.
- Knowledge and Working experience on Cloud platforms is highly preferred
Desired Skills:
Knowledge in MPP Databases/ Distributed systems
Knowledge on Big data Environments and Cloud integration
Exposure to Data Quality and Profiling tools is a plus.
Exposure to BI tools desired, but not required (Tableau, Micro strategy, Business Objects)
Programming language is added advantage
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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