top of page

ADF Engineer

About Us

Founded in the spring of 2022, Copperpod Digital has been a pioneering force in the world of digi-tech. Our unique blend of advanced AI expertize and unparalleled human talent has helped us amplify the potential of businesses across the globe, manifesting visionary concepts into digital innovations. From spearheading metaverse adoption to modernizing the world's largest fashion ERP platform, our impact has been enduring and unmistakable.

Amidst our accomplishments, the endorsement from KFC Ventures, the funding arm of the world's fastest-growing IT services company, stands out. Through this collaboration, we have fast-tracked our mission to empower human ingenuity and redefine what's possible.

Job Responsibilities

  • Design, develop, Support and implement end-to-end data integration solutions using Azure Data Factory (ADF) and Azure Synapse Analytics.

  • Collaborate with cross-functional teams to understand data requirements, design data models, and develop data pipelines for efficient data processing and analysis.

  • Develop ETL/ELT workflows, data ingestion processes, and data transformation activities using ADF pipelines and activities.

  • Optimize data processing and storage in Azure Synapse Analytics, ensuring high performance and scalability.

  • Perform data quality checks, data validation, and data profiling to ensure data accuracy and integrity.

  • Implement data security and access controls to protect sensitive data in compliance with organizational and industry standards.

  • Monitor and troubleshoot data integration and data warehousing solutions, identifying and resolving performance issues and bottlenecks.

  • Collaborate with data architects and data scientists to design and implement data lakes, data marts, and data warehouses to support analytics and reporting


  • Stay updated with the latest Azure Data Engineering trends, best practices, and technologies, and provide recommendations for process improvements and tool enhancements.

  • Document technical specifications, data flows, and solution designs to ensure effective knowledge transfer and maintainable solutions.

  • Provide technical guidance and mentorship to junior team members, sharing your expertise in Azure Data Factory and Azure Synapse Analytics.

  • 5+ years of industry experience with degree.

  • 3+ years of hands on experience on ADF

  • Proven experience as a Data Engineer, preferably with a focus on Azure Data Factory

    and Azure Synapse Analytics.

  • Strong understanding of data integration concepts, ETL/ELT processes, and data

    warehousing principles.

  • In-depth knowledge of Azure Data Factory and its various components, including

    pipelines, activities, data flows, and triggers.

  • Hands-on experience with Azure Synapse Analytics, including data ingestion, data

    transformation, and data loading techniques.

  • Proficient in SQL and scripting languages (e.g., PowerShell, Python) for data

    manipulation and automation tasks.

  • Familiarity with data modeling, dimensional modeling, and schema design for data


  • Solid understanding of cloud computing concepts and experience working in a

    cloud environment (preferably Azure).

  • Experience with Azure Data Lake Storage, Azure SQL Database, and other Azure

    data-related services.

  • Strong problem-solving skills and the ability to analyze complex data requirements

    and translate them into practical solutions.

  • Excellent communication and interpersonal skills, with the ability to collaborate

    effectively with cross-functional teams.

  • Azure certifications related to data engineering (e.g., Azure Data Engineer Associate)

    will be a plus.

Benefits & Support

1. Collaborative work culture that embraces diversity and inclusivity.

2. Supportive environment that values work-life balance, flexibility, and meeting

    employee needs.

3. Cultivate a growth mindset through continuous mentorship and skill-building


4. Robust retirement benefits and insurance & healthcare packages.

bottom of page