Back End Engineer Job in Pakistan
Afiniti , Pakistan

Experience
3 Years
Salary
100,000 - 200,000 PKR
Job Type
Job Shift
Job Category
Requires Traveling
No
Career Level
Telecommute
No
Qualification
Bachelors degree in Computer Science Engineering
Total Vacancies
5 Jobs
Posted on
Jul 5, 2019
Last Date
Oct 5, 2019
Location(s)

Job Description

Purpose
As a Back-End Engineer in the Data Platform team, you will be building the foundational technical stack on top of which all data analytics workloads run. Key Responsibilities include applying software architecture concepts in order to formulate and implement common patterns in our data pipeline.

The ideal candidate will have

Software development background with experience implementing and operating distributed applications in production.

Strong python skills (preferably python 3)

Experience using Git for version control

Ability to write self-documenting code and produce good and clear documentation for systems you build

Experience using a CI pipeline for automated deployment

Knowledge of type systems and previous experience using a statically typed programming language

Experience building ETL pipelines in a distributed computing paradigm

Good knowledge of Object Oriented and Functional Programming

Strong in unit testing, integration testing, end-to-end testing (preferably some experience with Behaviour-Driven Development

Experience using Docker to build and deploy applications in production

Proven ability to reason about distributed systems and their properties (idempotency, parallelism, concurrency, consensus, etc.)

Some experience with Bash scripting

Experience running software on Linux

Strong knowledge of database concepts (OLAP vs OLTP, columnar vs row, partitioning, reasoning about complexity of queries) with experience using distributed database technologies

Experience implementing and using automated monitoring

Job Specification

Bonus Skills

Experience using Apache Spark in production

Experience using Postgres or Greenplum in production

Experience using an Object Store (S3, Google Cloud Storage, Minio) in production

Experience using Flask in production

Experience using Apache Airflow in production

Experience using Grafana in production

Experience with Kubernetes in production

Experience using Prometheus in production

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