We are looking for a Data Engineer to design, build, and optimize scalable data platforms and pipelines supporting analytics, reporting, and business operations. The role focuses on developing reliable cloud-based data infrastructure, enabling efficient processing of large datasets, and ensuring high data quality across modern data environments.Responsibilities:- Design, build, and maintain scalable data pipelines and ETL/ELT workflows.- Develop and optimize data models and data warehouse solutions.- Process and analyze large datasets to support business insights and decision-making.- Ensure data quality, integrity, and validation across data platforms.- Optimize data collection, storage, and processing for scalability and performance.- Collaborate with cross-functional teams to identify and support data needs.- Create dashboards, templates, and visualizations for stakeholders.- Support experimentation and validation of data-driven solutions.- Contribute to data governance and continuous improvement initiatives. Required qualifications - Advanced SQL and Python skills (Scala is a plus).- Hands-on experience with AWS cloud services.- Experience with ETL/ELT pipeline development.- Strong understanding of data modeling and data warehousing concepts.- Experience with big data technologies such as Spark, Kafka, or Hadoop.- Familiarity with orchestration tools like Airflow.- Strong analytical, problem-solving, and communication skills.- Ability to work collaboratively across technical and business teams.Nice to Have:- Knowledge of manufacturing processes or industrial environments.- Experience with reporting, dashboards, or data visualization tools.- Familiarity with data governance and quality frameworks.- Experience working in Agile environments.