Senior Data Engineer

About Info Edge: Info Edges 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 behaviour, 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.

Business: Naukri.com

Naukri is India’s market leader in the recruitment business. It provides all the job seekers with advisory services and caters to their different needs and offer value-added features such as resume writing, highlighting and many more. With over 67 Million resumes searches daily, Naukri.com has 5 Million job listings, 59 Thousand+ unique clients and 4.9 Million recruiters connect with the job seekers via emails.

Title: Sr Data Engineer

Desired Experience: 1-3 years

Required Educational Qualification: BE/B.Tech in Computer Science/IT/ Electronics from reputed Institute

Job Description: -

Design, develop, and maintain robust data pipelines using Kafka, Airflow, and Spark.

-Implement data models and schemas for efficient querying.

-Develop and optimize code in Scala and Java for data processing tasks.

-Monitor and troubleshoot data pipeline performance, ensuring data integrity and availability.

-Collaborate with cross-functional teams to ensure seamless data integration and flow across systems.

-Stay up-to-date with industry trends and best practices in data engineering and big data technologies.

Required Skills: 2-3 years of experience in data engineering space.

-Proficiency in Kafka, Airflow, Spark, Scala, SQL, and Java.

-Experience in designing and managing data pipelines in a distributed environment.

-Solid understanding of ELT/ETL, datalake processes.

-Familiarity with AWS services is a plus.

-Strong problem-solving skills and ability to work in a fast-paced environment.