Job Title: Senior Big Data Engineer

Location: United States, Remote

Company: Inmar

About Us:

HELP US MAKE BUSINESSES SMARTER TO IMPROVE CONSUMERS' LIVES.

Through curiosity and the intelligent use of data and technology, we uncover valuable insights that make it easier for businesses to understand, predict and meet the personalized needs of consumers — so they can live their lives to the fullest. Are you looking for work that matters, and a career where you can use your expertise and passion to make a difference? Then you might be the right person for one of these open positions.

We are an Equal Opportunity Employer, including disability/vets.

Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a critical role in designing, developing, and leading the implementation of Big Data pipelines using tools such as Apache Spark and Apache Airflow. Your expertise in programming languages such as Scala, Python, and Java will be crucial for building robust data solutions.

Key Responsibilities:

• Design, develop, and maintain Big Data pipelines, ensuring data quality, reliability, and scalability.
• Utilize Apache Spark and Apache Airflow to build and manage data processing workflows.
• Lead and mentor team members in the development of data engineering projects.
• Collaborate with product managers and cross-functional teams to understand business requirements and translate them into data solutions.
• Create and maintain system designs for Big Data pipelines, incorporating best practices and scalability considerations.
• Collaborate with the data science and analytics teams to deliver high-quality data for analysis and reporting.
• Continuously evaluate and adopt new technologies and tools to enhance data engineering capabilities.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience (5+ years) in developing and implementing Big Data pipelines using Apache Spark and Apache Airflow.
• Experience with Google Cloud Platform (GCP).
• Strong programming skills in Scala, Python, and Java.
• Demonstrated leadership skills with the ability to lead and mentor team members.
• Experience in designing scalable Big Data pipeline systems.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication and collaboration skills.
• Experience working in an Agile or Scrum development environment is a plus.