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Senior Data Engineer
Xoom
posted 10hr ago
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Job Description
- Your way to impactYou will own multiple modules of Enterprise data lake / customer mastering solutioning and delivery new features / enhancements . Collaborate with cross-functional teams to understand business requirements and deliver scalable solutions. 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. Create r obust data quality framework to assess, monitor, and report the quality of data across various systems and platforms Deliver high-quality results from initial concepts.
Your day-to-dayIn 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.
Job RequirementsWhat do you need to bring- 4-7 years of experience in the IT industry, experience in Data Technology space is preferred.
- Proficiency 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
- Working knowledge on Big Data, Streaming Integrations
- 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 is a plus.
- Exposure to Data Quality and Profiling tools is a plus.
- Exposure to BI tools desired, but not required (Tableau, Micro strategy, Business Objects).
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Employment Type: Full Time, Permanent
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