Associate Data Engineer

Gaditek


Date: 6 days ago
City: Karachi
Contract type: Full time
Company Overview

At Gaditek, our talent is not just exceptional - it's world-class! Our unstoppable team of 800+ employees is the best and the brightest, driving innovation across 7 Global SaaS Brands in 6 hottest industries, including Cyber Security, Digital Media, Managed Cloud, Affiliate Marketing, E-Commerce, Web.3.0, and Venture Building as a Service.

Our team is made up of dreamers, doers, and all-around rockstars who are committed to making a difference. As a result, we’re among the best companies to work for, with a plethora of benefits and an amazing culture.

Overview Of The Role

We are seeking a motivated and goal-oriented Data Engineer to join our business intelligence team. This is an excellent opportunity for fresh graduates passionate about data and eager to start a career in data engineering.

What You Will Be Expected To Perform

  • Develop, maintain, and optimize ETL pipelines for efficient data processing.
  • Write clean, efficient code in Python for data manipulation and analysis.
  • Utilize SQL/MySQL for querying and managing relational databases.
  • Collaborate with cross-functional teams to design, implement, and maintain data models and warehouses.
  • Apply design patterns to ensure scalable and maintainable solutions.
  • Monitor and ensure the reliability, availability, and performance of data systems.

Qualifications And Requirements

  • Bachelor’s degree in Computer Science,
  • Strong understanding of Python and libraries such as Pandas.
  • Proficiency in SQL/MySQL for data extraction and manipulation.
  • Familiarity with data engineering concepts, design patterns, and best practices.
  • Basic knowledge of data warehousing principles and tools.
  • Excellent problem-solving skills and attention to detail.

You Should Be

  • You should have a genuine interest in working with data and solving complex challenges.
  • Be eager to learn new tools, technologies, and best practices in data engineering.
  • Pay attention to detail, ensuring the accuracy and reliability of data and pipelines.
  • Be comfortable collaborating with cross-functional teams and contributing to shared goals.
  • Take initiative to explore innovative solutions and stay updated on industry trends.
  • Be confident in using Python, SQL/MySQL, and other relevant data tools.

Dimensions And Supplementary Information

  • Collaborate closely with data analysts, software developers, and business intelligence teams to ensure seamless data operations.
  • Contribute to the design and implementation of data pipelines that support data-driven decision-making across the organization.
  • Work on solving challenges related to large-scale data processing, optimization, and system reliability.
  • Operate with guidance but take ownership of assigned tasks and drive them to completion.
  • Ensure the timely delivery of optimized data pipelines, reliable ETL processes, and well-documented solutions.

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