Data Engineer

We are looking for a skilled Data Engineer to join our team and help build, manage, and optimize our data systems and pipelines. The ideal candidate is passionate about data, has a strong technical background, and thrives in a collaborative environment. You will work closely with data scientists, analysts, and business teams to ensure data flows smoothly and securely throughout the organization.

• Design, develop, and maintain scalable and efficient data pipelines and ETL processes.
• Collaborate with stakeholders to understand data needs and provide solutions.
• Build and maintain databases and data warehouses to support analytics and reporting.
• Ensure data quality, integrity, and security across all systems.
• Implement and optimize data storage solutions for performance and scalability.
• Monitor, troubleshoot, and resolve issues in data pipelines and systems.
• Document data workflows, processes, and best practices.
• Stay updated on emerging trends, tools, and technologies in data engineering.
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in programming languages like Python, Java, or Scala.
• Strong experience with SQL and database technologies (e.g., MySQL, PostgreSQL, MongoDB).
• Hands-on experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with ETL tools and workflows (e.g., Apache Airflow, Talend, Informatica).
• Knowledge of data modeling, data warehousing, and schema design.
• Experience with version control systems like Git.
• Excellent problem-solving and analytical skills.