Data Engineer - Bykea Technologies

taraki-search; Karachi Division; On-site; PKR 2,009,000 - 2,678,000; Full time

Job summary

Bykea Technologies is seeking a Data Engineer in Karachi to expand and optimize data pipeline architecture, enhance data flow, and support data needs across multiple teams and products.

The ideal candidate will build scalable data systems, wrangle unstructured data, and contribute to redesigning the data architecture to enable next-generation analytics and product initiatives.

Qualifications

• Advanced ETL and SQL knowledge; NoSQL is a plus.
• Proficient in Python and JavaScript.
• Experience with ETL tools such as Airflow.
• Experience with BI tools like BigQuery and GCP.
• Experience with scripting (Batch, Shell).
• Experience building and optimizing big data pipelines.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets meeting business requirements.
• Identify and implement internal process improvements for scalability.
• Build analytics tools using the data pipeline for insights on acquisition and operations.
• Collaborate with Executives, Product, and Data teams to support data infrastructure.

Skills

ETL processes

SQL

NoSQL

Python

JavaScript

Airflow

BigQuery

GCP

Batch scripting

Shell scripting

Big data pipelines

Data analysis

Metadata management

Education

Graduate degree in CS/Statistics/Informatic or IS

Tools

Airflow

BigQuery

GCP

Job description

Our clientBykea Technologiesis looking forData EngineerinKarachi.

Job Overview

We are looking for a Software Engineer who has a love for data. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer

• Create and maintain optimal data pipeline architecture.
  
• Assemble large, complex data sets that meet functional / non-functional business requirements.
  
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
  
• Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  
• Work with stakeholders including the Executives, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  

Qualifications for Data Engineer

• Advanced working ETL processes knowledge as well as working familiarity SQL. Knowledge of NoSQL is a plus.
  
• Proficient in Python and/or javascript..
  
• Experience with ETL tools such as Airflow.
  
• Exposure with BI tools like BigQuery, GCP.
  
• Experience with scripting like Batch, Shell, etc.
  
• Experience building and optimizing big data pipelines, architectures and data sets.
  
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  
• Strong analytic skills related to working with unstructured datasets.
  
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  
• We are looking for a candidate with 1 to 2 years of experience in a Data Engineer role.
  
• Must have attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.