Data Engineer
3 weeks ago
The Purpose of this Role
We use data and analytics to personalize customer experiences and develop solutions that help our customers live the lives they want. As part of our digital transformation, we have significant investments to build cloud data lake platforms. Photon is looking for a hands-on data engineer who can help design and develop our next generation Cloud Data Lake and Analytics Platform for Workplace Solutions.
The Value You Deliver
You will be participating in end-to-end development, including design, development, testing, and deployment. You will work closely with Technical Lead/Architects to ensure that solutions are consistent with Photon's IT Roadmap. You will participate in technical life cycle processes, including impact analysis, design review, code review, and peer testing.
You will be participating in hands-on development of application framework code in Oracle PL/SQL, Snowflake, PySpark, Python, NiFi, Informatica Power Center, along with Control-M and UNIX shell scripts. You will be troubleshooting and fixing any issues reported on data issues and performance. You will be presenting findings and outcomes to Senior Leadership teams and providing insights from data to the business.
You will be helping business teams optimize their current tasks and increase their productivity. You will work in a globally distributed environment and be able to work independently.
The Skills that are Key to this Role
Technical/Behavioral
You must be an expert in using SQL and PL/SQL on Snowflake or Netezza with UNIX shell scripting skills. You should have a working knowledge in Hadoop, HDFS, Spark, NoSQL DBs. Good knowledge on Python and AWS is mandatory. You should have experience of using AWS services like EC2, S3, EMR to move data onto cloud platforms.
You should have experience of query tuning and optimization in one of the RBMS (Oracle or DB2). You should have experience in Control-M or similar scheduling tools. You should have proven analytical and problem-solving skills. You should be strong in Database and Data Warehousing concepts.
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