Sr Associate IS Data Engineer

What you will do
Lets do this. Lets change the world. In this vital role you will be 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 completing 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

Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks

Collaborate with multi-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

Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions

Adhere to standard methodologies 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. The [vital attribute] professional we seek is a [type of person] with these qualifications.

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

Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing

Experience with data warehousing platforms such as Amazon Redshift, or Snowflake.

Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases.

Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets.

Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops

Good-to-Have Skills:

Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)

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

Understanding of machine learning pipelines and frameworks for ML/AI models

Professional Certifications:

AWS Certified Data Engineer (preferred)

Databricks Certified (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

Demonstrated presentation skills