Molex Data Engineer Job4 min read

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Molex Data Engineer Job

Molex Data Engineer Job

Overview

Seniority LevelEntry Level
Job FunctionsEngineering , Technology
IndustryElectrical & Electronic Manufacturing, Computer Software , Automotive
LocationBengaluru, IN

About Molex

Molex Data Engineer Job – Molex is a leading global supplier of advanced electronic components and solutions. Every day, we design and manufacture solutions that make your life easier. Whether it’s inside the latest smartphone, the trusted home appliance or the connected car, you’ll find our innovation everywhere! In business for over 75 years, we are proud of our many innovations and the technologies they’ve enabled. Molex was instrumental in the first car radio, the first cellular phone and the first HDTV. Our pioneering products have one thing in common — they help leading technology companies achieve their own innovations. Collaboration is key to our success. Our experts work together as one company — across departments, disciplines and continents. We believe that diversity inspires innovation, and this belief allows us to successfully serve our growing global customer base. From the corporate headquarters to our manufacturing floors around the world, the Molex team is dedicated to helping further the limits of technology.

What do we do?

Within Molex, we are a small team of engineers and data scientists working on the building blocks of ‘Industry 4.0’. We are creating an IoT (Internet of Things) based data platform that receives data signals from over a million sensors across industries, process the data and provide real-time monitoring systems in a centralized environment. Being a subsidiary of Koch Industries, we have multiple clients already who have signed up to use our products. We are at very early stages of product development. We are actively looking for smart and motivated people across levels who can join us on our journey to build the platform for next-gen industries. Contact us if you are interested in this opportunity.

What You Will Do In Your Role

  • Create and manage a scalable ETL pipeline usable by anyone (engineers, data scientists) for a variety of purposes (analytics, dashboards, visualizations, machine learning) including infrastructure and abstractions.
  • Propose services, frameworks, and other capabilities that you predict will be a necessity in the future.
  • Build and maintain a robust data collection system that reaches across multiple sources and data marts.
  • Build and maintain a robust data collection system that reaches across multiple sources and data marts.
  • Monitor and tune existing infrastructure in close collaboration with the ops team.
  • Monitor and tune existing infrastructure in close collaboration with the ops team.
  • Build the cloud infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Kafka and Spark ‘big data’ technologies.
  • Build the cloud infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Kafka and Spark ‘big data’ technologies.
  • Create and manage a scalable ETL pipeline usable by anyone (engineers, data scientists) for a variety of purposes (analytics, dashboards, visualizations, machine learning) including infrastructure and abstractions.

The Experience You Will Bring

Required

  • Worked on Big Data platforms / products using distributed systems and other technologies
  • Hands on experience on processing real-time data streams

PREFERRED:

  • Previous work experience in internet-based product companies, preferably B2B products
  • Worked on New Products from scratch or early stage startups

The Skills & Abilities You Will Bring

Required

  • 3+ years of experience with hands on design and coding in Scala using Spark / Flink
  • 3+ years of experience with a data streaming platform such as Kafka or any other.
  • Experience in designing and scaling data infrastructure, models, and pipelines.
  • Expertise in using RDD, Dataframes, Datasets, Spark streaming, Spark SQL.

PREFERRED:

  • Experience in MongoDB or any NoSQL database.

Also See – Bottomline Technologies Data Scientist Job

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Molex Data Engineer Job, Molex Data Engineer Job

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