Junior Data Engineer

6 days ago

Karachi, Sindh, Pakistan DM CLINICAL RESEARCH GROUP Full time 500,000 - 1,500,000 per year

Job Details
Job Location:    Corporate - Karachi (KHI) - Karachi, Sindh
Salary Range:    Undisclosed

Junior Data Engineer

The Junior Data Engineer will be responsible for creating, maintaining, and modifying data pipelines for the reporting and system's needs.

DUTIES & RESPONSIBILITIES

Design, build, and orchestrate scalable data workflows and architecture aligned with business goals.  Develop and maintain robust batch and real-time data pipelines using modern tools and platforms. Manage structured and unstructured databases with a focus on performance, availability, and optimisation Ensure high standards of data quality, consistency, and accessibility across integrated systems Collaborate with cross-functional teams to gather requirements and translate them into data solutions Implement data governance standards covering security, privacy, and compliance Proactively monitor and troubleshoot system performance, ensuring uptime and reliability of pipelines Transform raw data into clean, well-documented, and report-ready datasets Maintain clear documentation of data processes, workflows, and architecture for knowledge sharing Other duties as assigned by the manager

KNOWLEDGE & EXPERIENCE

Education:

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Experience:

3+ years of experience working with data-driven solutions, with a focus on transforming healthcare or operational datasets into actionable insights to support process improvement and analytics initiatives. 2+ years of experience collaborating with stakeholders to design, build, and deploy scalable data engineering deliverables, including data pipelines, ETL workflows, and integrated data models tailored for analytical needs 2+ years of experience creating and maintaining self-service data infrastructure, such as datasets, dashboards, and backend integrations that empower end-users to explore metrics and monitor KPIs through BI tools

Credentials:

Industry certifications in data engineering or cloud platforms/frameworks.

Knowledge and Skills:

Data architecture design and data modeling (relational & dimensional), Development of batch and real-time data pipelines using ETL/ELT tools Strong proficiency in SQL, Python, and optionally Scala/Java Hands-on experience with cloud platforms: AWS, Azure, GCP Advanced database management with SQL Server, PostgreSQL, MongoDB, etc. Experience with big data technologies like Spark, Hadoop, and Kafka Data quality assurance, profiling, cleansing, and governance practices Use of orchestration and workflow tools such as Apache Airflow, DBT, and Talend Expertise in Microsoft Excel (pivot tables, macros, Google scripts) Familiar with documentation and design tools: Microsoft Word, PowerPoint, Visio, G Suite Skilled in handling and optimizing large-scale datasets and infrastructureQualifications

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