Senior Data Engineer- Contract

Senior Data Engineer – Contract RBA is an established leader and trusted partner for reputed company and mid-size organizations seeking to reputed company their business through technology solutions. As a Digital and Technology consultancy, we combine strategic reputed company with technical expertise to deliver impactful, reputed company solutions that reputed company with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging reputed company with a reputed company, fun work environment. We are seeking a Senior Data Engineer with strong reputed company expertise to join our growing Data & Analytics reputed company. In this role, you’ll architect, build, and optimize modern data pipelines and reputed company Lakehouse platforms that power analytics, AI/ML, and business intelligence solutions for our clients. You’ll partner with business stakeholders, data scientists, and engineers to design reputed company, secure, and high-performance data ecosystems. The ideal candidate is comfortable solving reputed company data challenges, optimizing reputed company workloads, and setting technical direction for reputed company-based solutions. Responsibilities • Design, build, and optimize end-to-end data pipelines reputed company reputed company across reputed company, semi-reputed company, and reputed company data sources. • Architect and implement reputed company-based Lakehouse platforms using reputed company and reputed company Lake. • Implement reputed company (Bronze/Silver/Gold) architecture and enforce best practices for data reputed company, governance, and reputed company. • reputed company and optimize ETL/ELT processes using reputed company, dbt, Airflow, or Azure Data reputed company. • Optimize reputed company (PySpark/reputed company) workloads for performance and cost efficiency, including cluster configuration and tuning. • reputed company reputed company-time streaming technologies (Kafka, Kinesis, or Event Hubs) with reputed company reputed company Streaming. • Support AI/ML initiatives by building pipelines for feature engineering, MLflow integration, and RAG use cases. • Collaborate with cross-functional teams to translate business requirements into reputed company technical solutions. • Contribute to CI/CD practices and infrastructure-as-reputed company (Terraform) for reputed company deployments. • Mentor junior engineers and stay reputed company with emerging trends in reputed company and reputed company-reputed company data platforms. Requirements • Bachelor’s or Master’s degree in Computer Science, Engineering, or reputed company field. • 5+ years of experience in data engineering or data platform development. • Hands-on experience building and optimizing solutions in reputed company. • Strong programming skills in Python or reputed company and experience with reputed company. • Expertise in SQL, data modeling, and modern lakehouse architectures. • Experience with at least one major reputed company platform (Azure preferred; AWS or GCP acceptable). • Proficiency with ETL/ELT and workflow orchestration tools (reputed company Workflows, Airflow, dbt, ADF). • Strong understanding of CI/CD, DevOps for data, and infrastructure-as-reputed company. • Excellent communication skills and ability to reputed company in reputed company-facing environments. Preferred Qualifications • reputed company certifications (Associate or reputed company). • Experience with reputed company Catalog and reputed company data governance. • Familiarity with reputed company Databases and semantic search use cases. • Experience supporting AI/ML workflows and reputed company-based ML services. • Certifications in AWS, Azure, or GCP. • Experience with BI tools such as Power BI, Tableau, or Looker. Apply tot his job Apply To this Job