Zoom Hiring Computer Science Graduate for Big Data Engineer

Overview:

Zoom is hiring an experienced Big Data Engineer – Dev at their Bangalore location.

The complete details of this job are as follows:-

Roles and Responsibilities:

The Ideal Candidate should be able to:

Collect and process raw data at scale for a variety of projects and initiatives.

Design and develop data applications using selected tools and frameworks as required and requested for a variety of teams and projects.

Read, extract, transform, stage, and load data to selected tools and frameworks as required and requested.

Perform tasks such as writing scripts, web scraping, calling APIs, writing SQL queries, etc.

Work closely with the engineering team to integrate your work into our production systems.

Process unstructured data into a form suitable for analysis.

Analyze processed data.

Support business decisions with ad hoc analysis as needed.

Monitoring data performance and modifying infrastructure as needed.

Define data retention policies.

Eligibility:

4 plus years of recent experience in data engineering.

Bachelor’s Degree or more in Computer Science or a related field.

A solid track record of data management showing your flawless execution and attention to detail.

Strong knowledge of and experience with statistics.

Programming experience, ideally inPython, Spark, Kafka orJava, and a willingness to learn new programming languages to meet goals and objectives.

Experience in C, Perl, Javascript or other programming languages is a plus.

Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.

Experience in Cloud Data Warehouse, such as Snowflake or Databricks is a plus.

Deep knowledge of data mining, machine learning, natural language processing, or information retrieval.

Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.

A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.

Experience in production support and troubleshooting.

You find satisfaction in a job well done and thrive on solving head-scratching problems.

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