Data Engineer
Skills
About This Role
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
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)
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