Junior Data Engineer

2 days ago

Corporate Karachi KHI Karachi Sindh, Pakistan Dm Clinical Research Group Full time 400,000 - 1,200,000 per year
Job Details Corporate - Karachi (KHI) - Karachi, Sindh 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 optimisationEnsure high standards of data quality, consistency, and accessibility across integrated systemsCollaborate with cross-functional teams to gather requirements and translate them into data solutionsImplement data governance standards covering security, privacy, and complianceProactively monitor and troubleshoot system performance, ensuring uptime and reliability of pipelinesTransform raw data into clean, well-documented, and report-ready datasetsMaintain clear documentation of data processes, workflows, and architecture for knowledge sharingOther 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 needs2+ 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 toolsStrong proficiency in SQL, Python, and optionally Scala/JavaHands-on experience with cloud platforms: AWS, Azure, GCPAdvanced database management with SQL Server, PostgreSQL, MongoDB, etc.Experience with big data technologies like Spark, Hadoop, and KafkaData quality assurance, profiling, cleansing, and governance practicesUse of orchestration and workflow tools such as Apache Airflow, DBT, and TalendExpertise in Microsoft Excel (pivot tables, macros, Google scripts)Familiar with documentation and design tools: Microsoft Word, PowerPoint, Visio, G SuiteSkilled in handling and optimizing large-scale datasets and infrastructure

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