Data Engineer

Job description

Who we are:

Network Coverage is a best-in-class technology solutions provider specializing in IT managed services, cybersecurity, compliance, cloud enablement, digital transformation and software development for mid-market and enterprise organizations. Our comprehensive technology solutions and operational excellence allow clients to focus on their business with the value of an end-to-end technology partner.

Network Coverage believes in providing purpose to our people and that character, integrity and commitment win out. Technology is our mission, empowering and developing our team is our passion.

Integrity, Humility, Ownership, Urgency, Service.

What the role is:

Data Engineer

Position Overview:

We are seeking a dynamic and experienced Data Engineer to join our analytics services team. The ideal candidate will play a pivotal role in understanding client needs, designing cutting-edge analytics solutions, and overseeing their successful implementation. As an Analytics Solution Owner, you will be responsible for gathering and designing for business requirements, driving end-to-end project delivery, ensuring client satisfaction, and contributing to the growth and success of our company’s analytics services.

Responsibilities:

• Design, build, and optimize scalable data pipelines and ETL processes to ingest, transform, and store large volumes of structured and unstructured data from diverse sources.
• Develop and maintain robust data architectures and infrastructure, ensuring reliability, performance, and security across all stages of the data lifecycle
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions, ensuring alignment with project objectives and client expectations.
• Implement data quality checks, monitoring, and troubleshooting mechanisms to ensure the integrity and accuracy of data throughout the pipeline.
• Evaluate and leverage emerging technologies and tools to enhance data processing efficiency, scalability, and effectiveness.
• Provide technical guidance and support to junior team members and client counterparts, fostering knowledge sharing and continuous learning within the organization.
• Stay abreast of industry trends, best practices, and advancements in data engineering and analytics, and proactively identify opportunities for innovation and improvement.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience working as a data engineer or similar role, preferably within a consulting or analytics-driven environment.
• Advanced proficiency with SQL, and moderate proficiency in programming languages such as Python, Java, or Scala, with strong expertise in data manipulation, scripting, and automation.
• Solid understanding of database technologies (e.g., SQL, NoSQL, relational databases) and data modeling concepts.
• Familiarity with:
  • Cloud computing platforms (e.g., AWS, Azure, Google Cloud)
• Cloud data platforms (e.g., Snowflake, S3, Redshift, BigQuery)
• Cloud data services (e.g. dbt Cloud, Fivetran)
• Strong analytical, problem-solving, and communication skills, with the ability to effectively collaborate with multidisciplinary teams and stakeholders.
• Proven ability to manage multiple priorities in a fast-paced, dynamic environment while maintaining a high level of attention to detail and quality.