Big Data Engineer

Role Overview: As a highly experienced Big Data Engineer with expertise in Python, Java, or Scala, your primary responsibility will be designing, building, and maintaining scalable data pipelines and data lake architectures. You should demonstrate a proven ability to manage and deliver complex data engineering projects effectively. This role presents an exciting opportunity to contribute to scalable data solutions within a collaborative work environment. Key Responsibilities: - Develop robust data engineering solutions utilizing technologies like Apache Spark, Hadoop, Hive, HBase, Kafka, Airflow, and Oozie. - Collaborate with cross-functional teams to ensure high data quality and governance standards. - Utilize cloud platforms such as AWS, Azure, or GCP for data processing and infrastructure management. - Manage and optimize data warehouses, data lakes, and RDBMS like PostgreSQL or SQL Server. Qualification Required: - Minimum 10 years of experience in Information Technology, specifically in the Big Data ecosystem. - Proficiency in programming languages such as Python, Java, or Scala, and hands-on experience with Apache Spark, Hadoop, Hive, HBase, Kafka, Airflow, and Oozie. - Familiarity with cloud environments (AWS, Azure, or GCP), data modeling, architecture, and governance principles. - Knowledge of version control systems (Git), Docker, and orchestration tools like Kubernetes is a plus. Additional Details: This position is full-time and exclusively open to female candidates.,