Data Engineering - Intern

We are a data-driven organization committed to leveraging technology to solve complex problems and generate actionable insights. As a Data Engineer Intern, you will work on building robust data pipelines, managing data architecture, and ensuring efficient data processing systems. This is a great opportunity for final-year students to gain hands-on experience in the exciting field of data engineering. 

Key Responsibilities: 

• Data Pipeline Development: Assist in designing, building, and maintaining scalable ETL (Extract, Transform, Load) pipelines. 
  

• Data Integration: Work on integrating data from various sources (APIs, databases, flat files) into centralized systems or data warehouses. 
  

• Database Management: Help in the design, implementation, and optimization of relational and NoSQL databases. 
  

• Collaboration: Work closely with data scientists, analysts, and software engineers to ensure seamless data flow and availability. 
  

• Data Quality Assurance: Perform data validation, cleansing, and transformation to ensure accuracy and reliability. 
  

• Performance Optimization: Identify bottlenecks and optimize data processing pipelines for efficiency. 
  

• Documentation: Document data workflows, pipelines, and processes for future reference and scalability. 
  

• Research and Development: Explore new tools and technologies to improve data engineering processes. 
  

Requirements

• Education: Final-year students pursuing a degree in Computer Science, Data Science, or a related field. 
  

• Programming Skills: Proficiency in Python, Java, or Scala, with a focus on data manipulation libraries/frameworks (e.g., Pandas, PySpark). 
  

• Database Knowledge: Familiarity with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). 
  

• Data Processing: Basic understanding of big data tools like Hadoop, Spark, or Kafka. 
  

• Version Control: Experience using Git for code management. 
  

• Problem-Solving: Strong analytical skills and a methodical approach to troubleshooting issues. 
  

• Passion for Data: A keen interest in working with data systems and solving real-world data challenges. 
  
  

Preferred Skills (Not mandatory): 

• Experience with cloud platforms like AWS, GCP, or Azure (e.g., S3, BigQuery, or Redshift). 
  

• Familiarity with data warehouse tools like Snowflake or Apache Hive. 
  

• Basic knowledge of containerization tools like Docker. 
  

• Exposure to workflow orchestration tools (e.g., Apache Airflow, Prefect). 
  

• Understanding of data visualization tools for collaboration with analysts (e.g., Tableau, Power BI). 
  

• Previous project or internship experience in data engineering (academic projects are welcome). 
  

Benefits

What We Offer: 

• Mentorship from experienced data engineers and industry experts. 
  

• Opportunities to work on real-world data projects. 
  

• Access to modern data tools and technologies. 
  

• Flexible work hours (if applicable). 
  

• A collaborative and supportive work environment. 
  

• Potential for a full-time offer upon successful completion of the internship. 
  
  

• Shift: Night
  
• Timings: 9PM to 6AM
  
• Days: Mon to Fri
  
• Location: PECHS Block 6, Shahrah e Faisal, Karachi