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10Pearls Logo 10Pearls · IT - Software Development

Principal Data Consultant

Pakistan, Islamabad · Job Posted June 30, 2026
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Job Description

10Pearls is seeking a Senior Principal Data Engineer with strong expertise in modern data platforms, cloud technologies, and large-scale data processing. The ideal candidate will be responsible for designing, developing, and maintaining scalable batch and real-time data solutions, enabling data-driven decision-making across the organization while ensuring data quality, governance, and operational excellence.

Job Responsibility

  • Design, develop, and maintain scalable batch and real-time data pipelines to support growing data volume and complexity
  • Build and optimize data solutions on cloud-based and on-premises data platforms (Azure, AWS, Google Cloud)
  • Develop data models, data marts, and data domains including laying the foundation for Data Mesh architecture
  • Implement and maintain ETL/ELT processes for efficient data integration and transformation
  • Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable data solutions
  • Ensure data quality, governance, security, and compliance across the full data ecosystem including access controls, data masking, and encryption
  • Automate deployment, scheduling, monitoring, and management of data pipelines and datasets
  • Monitor platform performance and troubleshoot data-related issues while providing L2/L3 production support
  • Develop and maintain data orchestration frameworks and DataOps best practices
  • Optimize existing data infrastructure and recommend improvements for scalability and performance
  • identify potential bottlenecks proactively
  • Participate in architecture discussions and contribute to data strategy and roadmap initiatives
  • Implement disaster recovery, business continuity, and risk management controls for data platforms
  • Support audit, compliance, and regulatory requirements related to data management
  • Collaborate with the Incident Management team to track, resolve, and report on data platform incidents and follow-up actions
  • Identify KPIs for data engineering deliverables in alignment with business requirements
  • Collaborate with cross-functional teams to ensure successful project delivery and production deployments
  • Maintain technical documentation, standards, and best practices across data engineering initiatives

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Minimum 7+ years of experience in Data Engineering and large-scale data platforms
  • Strong expertise in Big Data technologies including Hadoop, Spark (including Spark Streaming), Kafka, Hive, Airflow, and Apache NiFi
  • Advanced proficiency in Python and SQL
  • Hands-on experience with Azure Data Platform services including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Functions, and Logic Apps
  • or equivalent data stack knowledge within Google Cloud or AWS Cloud
  • Hands-on experience with Google BigQuery, Google Analytics, and Clickstream data modelling
  • Strong experience in building and maintaining ETL/ELT pipelines
  • Proficiency in relational SQL, Graph, NoSQL, and distributed database technologies
  • Proficiency in Elasticsearch and Couchbase databases
  • Expertise in data modeling techniques including Star Schema, 3NF, and Data Vault
  • Experience with workflow orchestration tools including Airflow, Oozie, and CI/CD tools
  • Knowledge of real-time data streaming platforms such as Kafka
  • Experience with Power BI, Tableau, Qlik, or similar reporting and visualization tools
  • Strong understanding of Data Governance, Data Architecture, Data Security, and Data Management principles
  • Experience with cloud-based data migration and modernization initiatives including hybrid on-premises and cloud architectures
  • Strong analytical, troubleshooting, and problem-solving skills
  • Excellent communication and stakeholder management abilities

Nice to have

  • Exposure to AI, Machine Learning, and Advanced Analytics platforms
  • Financial Services domain experience
  • Knowledge of Agile and Waterfall delivery methodologies
  • Program Management and deliverable tracking experience
  • Experience leading technical teams and mentoring junior engineers
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