Data Engineer

Job Overview We are looking for a skilled Data Engineer to design, build, and maintain robust data pipelines and infrastructure. This role requires a strong foundation in data architecture, data modeling, and large-scale data processing. The ideal candidate will work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and optimized for performance. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines • Build and optimize data architectures and data models • Integrate data from multiple sources into centralized data platforms • Ensure data accuracy, consistency, and integrity • Collaborate with cross-functional teams to understand data requirements • Optimize data processing and query performance • Implement data governance, security, and compliance standards • Monitor and troubleshoot data pipeline issues • Document data flows, processes, and architecture Required Skills & Qualifications • Bachelor’s degree in Computer Science, Data Engineering, or related field • 5+ years of experience in data engineering • Strong programming skills in Python, Scala, or Java • Advanced SQL skills and experience with relational databases • Experience with big data technologies such as Apache Spark, Hadoop • Familiarity with data pipeline tools like Apache Airflow or Luigi • Experience with cloud platforms (AWS, Azure, or GCP) • Knowledge of data warehousing solutions (Redshift, Snowflake, BigQuery) Preferred Qualifications • Experience with real-time data streaming tools like Kafka • Knowledge of data lake architectures • Familiarity with machine learning workflows • Experience with containerization and orchestration tools