Responsibilities

• Design, develop, and maintain data pipelines and architectures to support various analytical initiatives.
• Collaborate with cross-functional teams to identify and implement data-driven solutions that enhance business performance.
• Utilize advanced tools and technologies to analyze large datasets and extract actionable insights.
• Ensure the quality and integrity of data by implementing best practices in data management and governance.
• Participate in the optimization and enhancement of existing data systems to improve efficiency and scalability.
• Mentor junior data engineers and contribute to a culture of continuous learning and improvement within the team.
• Stay up-to-date with industry trends and emerging technologies to ensure the company remains at the forefront of innovation.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree is a plus.
• Proven experience as a Data Engineer with a strong background in data modeling, ETL processes, and database management.
• Expertise in programming languages such as Python, Java, or Scala, and proficiency in SQL.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.
• Experience in the industrial engineering services sector is preferred but not mandatory.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours and the option for remote work.
• Opportunity to work on groundbreaking projects that make a real impact in various industries.
• Continuous professional development and career advancement opportunities.
• Inclusive and supportive work culture that values diversity and collaboration.
• Comprehensive health and wellness benefits to support your well-being.
• Access to the latest technologies and tools to enhance your work.