M U S H A W A R

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Job Detail
Category

IT

Functional Area

Data analysis, machine learning, reporting, data visualization and monitoring.

Location

Karachi, Lahore & Islamabad

Job Type:

Full Time/Permanent

Qualifications

Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related technical discipline

Experience
10+ years of experience with Spark, Hadoop, Hive, Presto and Kafka
Offered Salary

Market Competitive + Other benefits

Job Description

About the role

Salaries in US $

Candidates from Karachi, Lahore & Islamabad are encouraged to apply

Candidate will be required to build data pipelines that synthesize data from millions of customers and convert it into useful information for trends and behavior analysis. The role requires a blend of technical competence, bias to action, and extreme ownership of the code base or the task at hand. Our client’s platform is built on cutting-edge tech and will provide ample opportunity for budding and experienced data engineers to learn and grow professionally.

Client offers:

Opportunity to build and scale one of the most disruptive products within and beyond Pakistan

A power packed team that helps you be the best version of yourself

Opportunity to solve challenging engineering problems for scalable architecture

Autonomy to explore new ideas, break down barriers and

A healthy compensation, stock options and Insurance for you to take care of you and your family

Unlimited leaves along with working remote first

Skills

Currently hands on building big data pipelines

Relational, NoSQL and SQL databases including MongoDb and Postgres

Stream-processing systems like Spark-Streaming and Storm

Data storage formats like parquet

Object function/object-oriented scripting languages including Scala, C++, Java and Python

Familiar with configuring CI/CD pipelines in GitHub, bitbucket or Jenkins for building application binaries

Workflow management and pipeline tools such as Airflow, Luigi and Kubeflow

Good-to-have

Experience with machine learning frameworks such as Tensorflow, Keras and libraries such as scikit-learn

Columnar Stores such as AWS Redshift

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