Job Title Data Engineer Overview We are seeking a Data Engineer responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. This role focuses on enabling reliable data integration, ensuring high data quality, and supporting advanced analytics across the organization. Key Responsibilities Design, develop, and maintain data pipelines and ETL/ELT processes Integrate data from multiple sources into centralized data platforms Ensure data quality, integrity, and consistency across systems Build and optimize data models and data warehousing solutions Support analytics and reporting by delivering clean, curated datasets Collaborate with cross-functional teams including data scientists, analysts, and software engineers Monitor and troubleshoot data workflows and pipeline performance Required Qualifications Strong foundation in software engineering with proficiency in: SQL Python ETL/ELT tools and frameworks Experience with database platforms: RDBMS: PostgreSQL, SQL Server, MySQL, Oracle NoSQL: MongoDB, Neo4j Hands‑on experience building multi‑source data pipelines (e.g., Qlik, AWS Glue) Experience working with cloud platforms, preferably AWS Solid understanding of: Data warehousing concepts Data quality and data governance practices Preferred Qualifications Programming experience in Java or C++ Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Knowledge of DevOps practices and tools (GitHub Actions, Terraform) Experience with containerization and deployment (Docker, Kubernetes) Exposure to API development Experience with big data technologies (Hadoop, Spark) Key Skills Data Integration & Pipeline Development Cloud Data Engineering Data Quality & Curation Problem‑solving and analytical thinking Collaboration and communication Work Setup Team size: 3 Data Engineers Support structure: 1 senior/lead resource Willingness to work in a collaborative and fast‑paced environment #J-18808-Ljbffr