• We are seeking a hands-on Data Engineer with strong experience in Spark-based processing, object storage platforms, and data modeling to build and maintain MMBL s Medallion Architecture (Raw Curated Semantic) on MINIO-based Delta Lake. You will play a key role in integrating multi-system data and supporting analytics, BI, and ML downstream.
    • If you are passionate about data engineering and ETL processes and have experience working with large-scale data platforms, we would love to hear from you! Apply today to be part of our team.
    • Develop and manage data pipelines across ingestion (Kafka, Sqoop, Trino), transformation (Spark), and enrichment (Delta Lake on MINIO).
    • Design and maintain Raw, Curated, and Semantic Zones within the Data Lake following the Medallion Architecture.
    • Enable scalable processing and curation using Apache Spark (batch + structured streaming).
    • Implement data modelling in OLAP columnar formats for BI performance.
    • Collaborate with governance teams to ensure data is discoverable, high-quality, and catalogued via Open Metadata.
    • Support structured and federated queries across data zones using Trino.
    • Contribute to data quality frameworks, lineage tracking, and performance tuning.
    • Education: Bachelor s/master s degree in computer science, Information Technology, or a related field.
    • Experience: 3 to 5 years of experience in data engineering, ETL development, or related fields.
    • Key Skills:
    • Strong experience in SQL development and database optimization (Oracle 19c, PostgreSQL, MySQL).
    • Proficiency in Trino, Sqoop, Delta Lake, and MINIO for data processing and storage.
    • Hands-on experience with Python and R for data manipulation and ETL automation.
    • Expertise in Big Data technologies and distributed computing frameworks.
    • Experience with Tableau for data visualization and reporting.
    • Strong understanding of data warehousing concepts, data lakes, and cloud storage solutions.
    • Knowledge of data governance, security, and compliance standards.
    • Strong experience with Apache Spark (PySpark) or Trino.
    • Working knowledge of object stores (MINIO, S3) and Delta-Lake architecture.
    • Expertise in Medallion Data Architecture (Raw Curated Semantic).
    • Proficiency in data modeling, data federation, and columnar OLAP stores (e.g., Parquet).
    • Proficient in SQL, Trino/Presto, and batch + streaming pipelines.
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    Mobilink Bank

    بینکنگ / مالیاتی خدمات · 1001-1500 ملازمین - اسلام آباد

    Mobilink Bank is providing banking services to over 42 million registered users including 16+ million monthly active customers across Pakistan. With a hybrid model that combines traditional microfinance with mobile/digital banking technologies, the bank now operates with over 100 branches and 200,000 branchless banking agents and provides a USSD (GSM) based digital channel offering savings, micro enterprise (MSME) loans, small housing loans, remittances, collection (utility bills and loan installments), mobile wallets, insurance, G2P, B2B & B2P payments; thus, playing a leading role in the promotion of financial inclusion. MMBL is committed to fostering a positive and productive workplace, and our core values reflect this focus. These values include promoting innovation and entrepreneurship, encouraging teamwork and collaboration, and prioritizing a customer-centric approach in all aspects of our business.

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