Hiring Sr Data Engineer

Hubstaff blog; Columbia Township (MO); Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative company is on the lookout for a passionate Data Engineer to lead the transformation of data management and integration. This role is pivotal in enhancing supply chain visibility and understanding market dynamics. You will collaborate with stakeholders to build efficient data processing solutions, ensuring data accuracy and completeness. If you have a proactive analytical mindset and strong communication skills, this is a fantastic opportunity to make a significant impact in a dynamic environment. Join a team that values your expertise and drive to innovate in the data landscape.

Qualifications

• Expertise in data engineering with strong SQL or Python skills.
• Experience in cloud environments, particularly AWS.

Responsibilities

• Contribute to the overall architecture of data solutions.
• Build scalable data processing solutions for applications.

Skills

Data Engineering

SQL

Python

Cloud-based environments (AWS)

Agile methodologies

Analytical skills

Communication skills

Tools

Databricks

Synapse

Snowflake

SQL Server

PowerBI

SAP

Job description

nex4.com HQ: Columbia, MO, United States Remote job Apr 14

[This is not for job boarding or recruiting purpose. We are just seeking a Sr Data Engineer who can jump into our in-house project immediately]

Nex4 specializes in providing subscription-based services for streaming movies, television series, and live television channels over the internet. Our service is accessible on Nex4-supported devices, ensuring a seamless and enjoyable viewing experience for our subscribers.

We are seeking an enthusiastic Data Engineer to spearhead the transformation of data management and integration landscape. Your expertise will be crucial in enhancing visibility across their supply chain to prevent losses and better understand market dynamics.

Role & Responsibilities:

1. Contribute to the overall architecture of the solution
2. Collaborate with different stakeholders to understand their data needs and requirements
3. Build scalable and efficient data processing solutions to support data-driven applications
4. Ensure data accuracy, consistency, and completeness
5. Develop and maintain documentation related to data engineering processes and procedures

Hard Skills - Must have:

1. Data Engineering on one of the following platforms: Databricks, Synapse, Snowflake, SQL Server, Fabric
2. Expert in SQL or Python depending on the platform you master
3. Previous engagements in cloud-based environments in AWS
4. SQL Server or comparable database engine
5. Knowledge of Agile and SDLC concepts, practices, and techniques

Hard Skills - Nice to have/It's a plus:

1. Snowflake
2. Python
3. PowerBI
4. CICD
5. SAP

Soft Skills / Business Specific Skills:

1. Proactive analytical attitude, strong sense of self-motivation, organization and attention to detail.
2. Strong English communication skills, both written and spoken.