Hybrid/Remote - Python and Big Data Developer

Hybrid/ Remote Python and Big Data Developer

3 Day on-site 2 days remote

Denver, Colorado

We are seeking a Python and Big Data Developer with experience working in enterprise environments supporting large-scale data sets and infrastructure. The Python and Big Data Developer will design, implement, and support data applications and supporting infrastructure, and will participate in the identification of strategic areas of development of the data platforms and functionality. They will collaborate with senior data engineering team members. The position requires regular on-site presence in Denver, Colorado.

Responsibilities:

• Build, analyze and present actionable data to drive marketing, business development, and product management decisions.
• Design, implement, and support solutions to automate and aggregate large-scale data flows from varying sources.
• Collaborate with data analysts and system engineers to construct complex data sources.
• Continually improve reporting and analysis processes through automation and enhancement to self-service support services for customers.
• Design, operate, and improve the data warehouse infrastructure.
• Analyze and improve existing support processes and update documentation.
• Identify and implement automation for administrative tasks.
• Provide technical solutions for alerts and escalated tickets from our customers including root cause assessment.
• Contribute to process definitions for Issue Management and Change Management.

Requirements

Requirements:

• Knowledge of big data technologies, examples include Hadoop, Spark, Scala, Python, PySpark, Hive, Airflow, and HDFS.
• 2+ years of industry experience in data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
• Knowledge of batch and streaming data architectures.
• Knowledge of advanced SQL concepts like indexing, unions, table structure, scans, read safety, etc. as applied to large data sets.
• Experience collaborating with other engineers in a data engineering role.
• Knowledge of software engineering best practices used in the development lifecycle, such as Agile, code reviews, source management, and testing.
• Ability to communicate with users, technical teams, and leadership regarding requirements, data modelling, and solution approach strategies.
• Experience working in a distributed, internet-scale Linux environment.
• Master's or bachelor's degree in engineering or a related field, or equivalent work experience.
• Professional, team-oriented personality with experience working in a large organization.
• Strong sense of ownership and the ability to work independently with incomplete requirements.

Preferred Skills:

• Experience in cellular and or cable or telecommunications field with an understanding of the technologies, processes, and principles of these industries.
• Knowledge of systems administration, scripting and build automation tools, and a thorough understanding of the TCP/IP stack and the Linux environment.
• Solid understanding of networking concepts and technologies.

Benefits

Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package, 401K, tuition reimbursement and opportunities for professional growth and advancement.