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Business Manager @Paklogics | IT Services & Solutions | Staff Augmentation | Technology Consulting | Global Network Delivery | Strategic Business…Job Title:Data Scientist (2 Years Experience – Onsite)
Company:Paklogics
Working Hours:5:00 PM to 2:00 AM (Pakistan Standard Time)
Job Title:Data Scientist (2 Years Experience – Onsite)
Company:Paklogics
Location:Onsite – Model Town, Lahore
Working Hours:5:00 PM to 2:00 AM (Pakistan Standard Time)
Job Overview:Paklogics is looking for aData Scientistwith approximately2 years of hands-on industry experiencein building and managing data pipelines, automating data workflows, and working with large-scale data ingestion and preprocessing tasks. This is a full-timeonsite positionbased at our Lahore office (Model Town). The ideal candidate should demonstrate proficiency in designing and operatingend-to-end ETL pipelines, managing task orchestration usingApache Airflow, and preparing model-ready datasets.
Key Responsibilities:- Develop and maintain scalableETL pipelinesfor processing structured and unstructured data from various sources
- Performdata ingestionusing APIs, flat files, and third-party connectors
- Clean, validate, and preprocess data for downstream analytics or machine learning workflows
- Implement and manage data workflow orchestration usingApache Airflow, including DAG creation, scheduling, and monitoring
- Collaborate with engineering and AI/ML teams to provide clean, well-structured, and reliable datasets
- Optimize data processes for performance and cost-effectiveness, especially in cloud environments
- Maintain data pipeline documentation and data dictionaries
- Conduct root-cause analysis on data issues and pipeline failures
Programming & Scripting:
- Strong proficiency inPythonfor data processing (Pandas, NumPy, etc.)
- Working knowledge ofSQL(joins, window functions, query optimization)
- Familiarity withBash/Shell scriptingfor automation tasks
- Experience building and maintainingend-to-end ETL pipelines
- Hands-on experience withApache Airflow(writing custom DAGs, managing scheduling, handling retries/failures)
- Knowledge ofdata ingestionstrategies (file-based, API-based, database replication)
- Experience withdata preprocessingand data quality checks
- Experience working with bothstructured (SQL databases)andsemi-structured data (JSON, CSV, XML)
- Experience withrelational databaseslike MySQL, PostgreSQL, or MS SQL Server
- Basic understanding ofNoSQL databasessuch as MongoDB or DynamoDB (optional)
- Familiarity withcloud storage(S3, GCS, etc.) is a plus
- Working knowledge ofGit, GitHub/GitLab workflows
- Understanding ofCI/CD conceptsfor data pipeline deployments is preferred
- Strong analytical and problem-solving mindset
- Excellent written and verbal communication skills
- Ability to manage time effectively and take ownership of assigned tasks
- Bachelor's degree in Data Science, Computer Science, Software Engineering, or a related field
- 2 years of professional experiencein a Data Science or Data Engineering role
- Comfortable workingonsiteat our Lahore office
- Available duringnight shift hours(5:00 PM – 2:00 AM)
- Seniority levelEntry level
- Employment typeFull-time
- IndustriesSoftware Development
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