Job Overview

Location
Bengaluru, Karnataka
Job Type
Full Time
Date Posted
3 years ago

Additional Details

Job ID
11603
Job Views
247

Job Description

Key Qualifications

Java and/or Python expertise

Experience in architecting, building and operating end to end Kafka-based data-pipelines / Spark Jobs / Airflow DAGs / Jupyter Notebooks

Designing, building and operating distributed applications for scale

Expert level understanding of distributed processing technologies(spark, mapreduce etc) with a focus on internals

Expert level understanding of performance tuning applications as they scale to millions of requests/day and 100’s of terabytes of data

Excellent troubleshooting, problem solving, critical thinking, and communication skills

Good understanding of Unix/Linux based operating system. Proficient in unix, command-line tools, and general system debugging

Description

We work on Apple scale opportunities and challenges. We are engineer at heart. We like solving technical problems. We believe that a good software engineer can design and code anything which has a logic and pattern to it. We believe a good engineer has the curiosity to dig into inner workings of technology and is always experimenting, reading and in constant learning mode. If you are a software engineer/architect with passion to code and dig deeper into any technology, love knowing the internals to extract that last ounce of performance out of software/hardware and fascinated by distributed systems architecture, we want to hear from you.

The person should be capable of exhibiting deftness to handle multiple simultaneous competing priorities and deliver solutions in a timely manner. The person will have to participate in 12x7 on-call rotation and provide incident resolution for the production issues in timely manner. The person should be able to understand complex architectures and be comfortable working with multiple teams

Additional Requirements

Experience with Kubernetes or other container orchestration framework.

Experience in large Hadoop/S3 clusters with 100’s of terabytes of data

A strong data background - dealing with OLTP or Analytics workloads at scale

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women and protected veterans. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Qualification

Any Graduate

Experience Requirements

Freshers, Experienced

Location

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