Job description:

• Education: A bachelor's or master's degree in Computer Science, Data Science, Software Engineering, or a related field is typically required for a Lead Data Engineer role. Some companies may also consider candidates with equivalent work experience and relevant certifications in Big Data and related technologies.
• Big Data Experience: Strong expertise in Big Data technologies and frameworks is essential. This includes hands-on experience with distributed computing systems like Apache Hadoop and Apache Spark for processing large-scale datasets.
• SQL: Proficiency in SQL (Structured Query Language) is important for data manipulation, querying, and analysis in relational databases and data warehouses.
• Programming Skills: Strong programming skills in either Python or Java are typically required for implementing data engineering solutions and developing data pipelines.
• Hive/Hadoop: Experience with Apache Hive and Hadoop ecosystem tools is valuable for data warehousing and data processing tasks in a Big Data environment.
• Cloud Technologies: Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is important for building scalable and cloud-based data solutions.
• REST API: Knowledge of RESTful API design and development is valuable for integrating data systems and enabling data access through APIs.
• Data Modeling: Understanding of data modeling concepts and data architecture principles to design efficient data structures and databases.
• Data Integration: Experience with data integration techniques, data ingestion, and ETL (Extract, Transform, Load) processes to handle diverse data sources and formats.
• Data Quality and Governance: Knowledge of data quality management and data governance practices to ensure data accuracy, consistency, and compliance with regulations.
• Data Security: Familiarity with data security and encryption methods to protect sensitive data and ensure data privacy.
• Problem-Solving Skills: Strong problem-solving abilities to address technical challenges related to data engineering and data processing.
• Communication and Leadership: Good communication and leadership skills to collaborate with cross-functional teams, manage projects, and lead a team of data engineers.
• Continuous Learning: A willingness to stay updated with the latest advancements in Big Data technologies, cloud platforms, and industry best practices for data engineering.
• Project Experience: Previous experience working on data engineering projects and leading data engineering initiatives is often required for a Lead Data Engineer role.