Job Description
Job Description
About Info Edge :- InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers.
At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent.
About BU: Corporate Function – Data Science
Designation: Data Engineer
Desired Experience: 1-2 Years
Required Educational Qualification: BE/B.Tech in Computer Science/IT/ Electronicsfrom reputed Institute
Work Location: Noida (Sector 132)
Job Description:
- Develop high quality, secure and scalable data pipelines using spark, Scala/ python on Hadoop or object storage.
- Leverage new technologies and approaches to innovate with increasingly large data sets.
- Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration.
- Understand, implement and enforce Software development standards and engineering principles in the Big Data space.
- Work closely with business stakeholders and embedded engineering teams within business teams in a collaborative manner to help them build scalable products in quick time.
- Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
- Perform assigned tasks and production incident independently.
- Experience in building and maintaining large-scale applications.
- Expertise in Python, spark, Hadoop/HDFS
- Experience of building data ingestion pipelines
- Understanding of RDBMS and NoSql databases including wide-column databases
- Understanding of messaging systems e.g. Kafka, Pulsar
- Exposure of working with Pandas, Numpy
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