Data Engineer

What you will do
Lets do this. Lets change the world. In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

Roles & Responsibilities:

Design, develop, and maintain data solutions for data generation, collection, and processing

Be a key team member that assists in design and development of the data pipeline

Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs

Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

Implement data security and privacy measures to protect sensitive data

Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

Collaborate and communicate effectively with product teams

Identify and resolve complex data-related challenges

Adhere to best practices for coding, testing, and designing reusable code/component

Explore new tools and technologies that will help to improve ETL platform performance

Participate in sprint planning meetings and provide estimations on technical implementation

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Masters degree and 1 to 3 years of Computer Science, IT or related field experience OR

Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR

Diploma and 7 to 9 years of Computer Science, IT or related field experience

Preferred Qualifications:

Functional Skills:

Must-Have Skills :

Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing

Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools.

Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores

Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

Proven ability to optimize query performance on big data platforms

Good-to-Have Skills:

Experience with data modeling, performance tuning, on relational and graph databases( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore)..

Strong understanding of data modeling, data warehousing, and data integration concepts

Knowledge of Python/R, Databricks, SageMaker, cloud data platform

Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing

Professional Certifications :

AWS Certified Data Engineer preferred

Databricks Certificate preferred

Soft Skills:

Excellent critical-thinking and problem-solving skills

Strong communication and collaboration skills

Demonstrated awareness of how to function in a team setting

Shift Information:
This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.