Data Engineer

Design, develop, and maintain scalable data pipelines; Build and optimize ETL/ELT workflows for large-scale data processing; Develop and manage data warehouses and data lakes; Ensure data quality, accuracy, security, and reliability; Integrate data from multiple sources for analytics and business intelligence; Collaborate with Data Scientists, Analysts, and Software Engineers; Monitor and optimize data infrastructure performance and scalability. Requirements include Python, Java, or Scala; SQL & Database Management; ETL/ELT Development; Apache Spark, Kafka, Hadoop; Snowflake, Redshift, BigQuery, or similar platforms; Apache Airflow or workflow orchestration tools; AWS / Azure / GCP; Data Modeling & Data Warehousing; Git & Version Control; Strong analytical and problem-solving skills. Experience: 2+ Years (Preferred). Salary: Competitive Salary (not specified). Employment Type: null.