Data Platform Engineer (Manufacturing)

About the role

The role involves designing, implementing, and maintaining data platforms that support manufacturing processes. This includes working with big data technologies and ensuring data integrity and security.

Responsibilities

• Design and implement scalable data solutions using big data technologies.
• Maintain and optimize existing data platforms to ensure high performance and reliability.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Ensure data quality and security through rigorous testing and validation processes.
• Stay updated with the latest trends in data engineering and incorporate them into project designs.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in data engineering or a similar role.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Strong understanding of SQL and NoSQL databases.
• Proficiency in Python, Java, or Scala.
• Excellent problem-solving skills and ability to work independently and as part of a team.

Qualifications

• Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with data warehousing tools such as Redshift or BigQuery.
• Experience with machine learning and data analytics tools.
• Good communication and presentation skills.

Skills

• Data modeling and design.
• ETL processes and data pipelines.
• Database administration and optimization.
• Performance tuning and monitoring.
• Version control systems (Git).

Benefits

• Competitive salary package.
• Flexible working hours.
• Professional development opportunities.
• Health insurance coverage.
• Employee discounts.

Pay

• $80,000 - $100,000 annually.

Schedule

• Full-time position.

Contact

To apply, please fill out the form below or contact us at [contact information].