Data Engineer

Role Overview We are seeking a Senior Data Engineer to design and deliver scalable data solutions with a strong focus on Google Cloud Platform (GCP). You will lead key initiatives such as re-platforming data services to the cloud, building real-time streaming pipelines, and optimizing large-scale data processing systems. This role is accountable for the quality, performance, and usability of enterprise data solutions. Key Responsibilities • Design and build data pipelines and foundations using GCP tools (BigQuery, Dataflow, Pub/Sub, DataStream, GCS). • Develop scalable ETL/ELT pipelines with Python and SQL across RDBMS and NoSQL databases. • Drive data modeling, profiling, and curation for analytics and AI/ML workloads. • Partner with business and technical teams to gather requirements and translate into data architecture. • Support CI/CD pipelines with Terraform/Terragrunt and Azure DevOps. • Collaborate with architects to define optimal cloud data architectures. • Build and support MLOps pipelines for AI/ML deployment, testing, and performance tuning. • Ensure data quality, governance, and compliance standards are met. Required Skills & Experience • 5+ years in data engineering, with 4+ years in data modeling and architecture. • Deep expertise in GCP data engineering tools (BigQuery, Pub/Sub, Dataflow, DataStream, GCS). • Advanced Python and SQL development skills. • Strong knowledge of data warehousing, governance, and security practices. • Experience with CI/CD, infrastructure-as-code, and cloud deployment automation. • Solid understanding of statistics and analytics to support AI/ML initiatives. Preferred Qualifications • Master’s degree in Computer Science, Engineering, or related field. • Industry experience in energy or utilities. • Familiarity with machine learning frameworks (TensorFlow, Scikit-Learn, Pandas, NumPy).