Sr. Data Engineer - Onsite - Acunor Inc

Position: Senior Data Engineer

Location: Irving TX (From Day One)

Duration: Fulltime

Number of positions: 2

Required Qualifications:

Strong in Python with 3+ years hands-on coding experience

3+ years' experience in designing and building Microservices

3+ years' experience with REST API design and development using Python

3+ years' experience with deployment/scaling of apps on containerized environment (i.e., Kubernetes, AKS)

3+ years' experience with real-time and streaming technology (i.e., Azure Event Hubs, Azure Functions Kafka, Spark Streaming)

3+ years' experience with cloud-based platforms (i.e., Azure, GPC, AWS)

Experience building automated big data pipelines

Experience performing data analysis and data exploration

Experience working in an agile delivery environment

Experience with Snowflake

Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization

Experience working in multi-developer environment, using version control (i.e., Git)

Experience with orchestrating pipelines using tools (i.e., Airflow, Azure Data Factory)

Experience with data modeling and system architecture design

Experience partnering cross-functionally with other technical teams (i.e., data ingestion, data science, operational systems) to align priorities and achieve deliverable outcomes

Experience with setting coding standards, performing code reviews, and mentoring junior developers

Exposure/understanding DevOps best practice and CICD (i.e., Jenkins)

Ability to understand complex systems and solve challenging analytical problems

Strong critical thinking, communication, and problem-solving skills and a quick learner

Must have:

Strong experience with deployment/scaling of apps on containerized environment (i.e., Kubernetes, AKS)

Strong experience with NoSQL Databases and hands-on query tuning/optimization

Strong experience with real-time and streaming technology (i.e., Azure Event Hubs, Azure Functions Kafka, Spark Streaming)

Preferred Qualifications:

Experience in Azure/GCP.

Solid understanding of Kafka architecture and building consumers for high volume data streams.

Experience with bash shell scripts, UNIX utilities & UNIX Commands

Previous healthcare experience and domain knowledge

Education:

Bachelor's degree in computer science, Engineering, Statistics, Physics, Math, or related field or equivalent experience

Preferred: master's degree with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.