Data Engineering Tech Lead

Job Description Roles & Responsibilities Connect to your opportunity Identify and solve complex problems using a structured and logical approach. Stay up to date on the latest data engineering technologies and trends. Work with other engineering teams to integrate data engineering solutions with other systems. Maintain and optimize data systems to ensure high availability and performance. Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes. Gather requirements from stakeholders and translate them into technical specifications. Lead a team of data engineers in the design, development, and implementation of data engineering solutions. Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies. Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences. Manage multiple projects simultaneously in a highly organized and efficient manner. Think creatively and come up with new solutions to problems. Communicate effectively with technical and non-technical audiences, both verbally and in writing. Connect to your skills and professional experience Technical skills: 7+ years of relevant experience. Cloud computing platforms: AWS/Azure/GCP Programming languages: Python/Java/Scala & Unix Shell scripting Data warehouse technologies: Redshift/Snowflake/Big Query Data lake technologies: Hadoop, Apache Beam, Spark, and Hive Orchestration: Airflow/Control-M/(Any Orchestration tool) Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn Connect to your service line - Technology & Transformation Distinctive thinking, deep expertise, and collaborative working. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact that matters. Desired Candidate Profile Identify and solve complex problems using a structured and logical approach. Stay up to date on the latest data engineering technologies and trends. Work with other engineering teams to integrate data engineering solutions with other systems. Maintain and optimize data systems to ensure high availability and performance. Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes. Gather requirements from stakeholders and translate them into technical specifications. Lead a team of data engineers in the design, development, and implementation of data engineering solutions. Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies. Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences. Manage multiple projects simultaneously in a highly organized and efficient manner. Think creatively and come up with new solutions to problems. Communicate effectively with technical and non-technical audiences, both verbally and in writing. Technical skills: 7+ years of relevant experience. Cloud computing platforms: AWS/Azure/GCP Programming languages: Python/Java/Scala & Unix Shell scripting Data warehouse technologies: Redshift/Snowflake/Big Query Data lake technologies: Hadoop, Apache Beam, Spark, and Hive Orchestration: Airflow/Control-M/(Any Orchestration tool) Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn Company Industry BankingFinancial ServicesBroking Department / Functional Area Engineering Keywords Data Engineering Tech Lead Get real-time job updates only on our App