Data Engineer TASC Outsourcing

About the Role: We are looking for a Data Engineer based in Lyari to design, build, and maintain scalable data pipelines and warehousing solutions. You will work closely with data scientists and stakeholders to enable data-driven decision making and support machine learning initiatives. Responsibilities: Design, develop, and maintain scalable ETL pipelines for ingesting, processing, and transforming large datasets Build and optimize data warehousing solutions to support analytics and reporting Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Monitor and troubleshoot pipeline performance, data quality, and system reliability Implement best practices for data governance, security, and compliance Document data architecture, pipeline processes, and operational procedures Integrate data from various on-premises and cloud-based sources Required Qualifications: 2-7 years of experience in data engineering or related roles Proficiency in SQL and Python for data manipulation and scripting Hands-on experience with ETL development and data integration tools Strong understanding of data warehousing concepts and technologies Experience with at least one major cloud platform (AWS, Azure, or GCP) Familiarity with version control, CI/CD pipelines, and containerization Preferred Qualifications: Experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Cloud platform certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) Experience with big data technologies such as Hadoop, Spark, or Kafka Knowledge of data modeling and metadata management Experience with infrastructure as code tools (e.g., Terraform, CloudFormation)