Data Engineer

Lone Wolf Technologies is seeking a skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a pivotal role in designing, implementing, and maintaining the data pipelines and architectures that drive our cutting-edge technologies. At Lone Wolf Technologies, we are dedicated to leveraging data to enhance our operational efficiency and improve our product offerings. In this position, you will collaborate with cross-functional teams to gather requirements, optimize data flow processes, and ensure data integrity across our platforms. Your expertise will help us transform raw data into actionable insights while also supporting our data science initiatives. This is an exciting opportunity for you to work in a fast-paced environment that values innovation and encourages professional growth. You will be responsible for developing scalable data solutions and integrating various data sources to support our analytics team in decision-making processes. Join us in our mission to harness the power of data and make a significant impact in the technology landscape. If you have a passion for data, a strong technical skillset, and a desire to work at the forefront of technology, we would love to hear from you.

• Design, develop, and implement scalable data pipelines for ingestion and processing of large datasets.
• Collaborate with data scientists and analysts to understand data requirements and deliver robust solutions.
• Monitor and optimize data performance and reliability across various data systems.
• Create and maintain documentation for data workflows, architecture designs, and processes.
• Implement best practices for data modeling, data governance, and data quality assurance.
• Troubleshoot and resolve data-related issues promptly to ensure seamless business operations.
• Stay up to date with emerging technologies and industry trends to continuously improve data engineering practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or similar role with hands-on experience in data engineering practices.
• Strong proficiency in SQL and experience with database management systems such as MySQL, PostgreSQL or similar.
• Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, Google BigQuery).
• Knowledge of programming languages such as Python, Java, or Scala for data manipulation and processing.
• Excellent problem-solving skills and ability to work both independently and collaboratively within a team.