Full Stack Data Engineer

• Data Ingestion and Integration:
  • Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources.
  • Integrate data from different systems and platforms to create unified datasets for analysis and reporting.
• Data Storage and Management:
  • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases.
  • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness.
• Data Processing and Transformation:
  • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats.
  • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
• Data Modeling and Optimization:
  • Design and implement data models to support analytical and reporting requirements.
  • Optimize data models for query performance, data integrity, and storage efficiency.
• Software Development and Integration:
  • Build software applications and APIs to expose data services and functionality to other systems and applications.
  • Integrate data engineering workflows with existing software systems and platforms.
• Monitoring and Maintenance:
  • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems.
  • Conduct regular maintenance activities to ensure the reliability, availability, and scalability of data infrastructure.
• Documentation and Collaboration:
  • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration.
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
• Expert-level skills in data visualization platforms beyond Tableau and Power BI (e.g. Qlik) 
• Strong understanding of database concepts, data modeling techniques, and SQL programming.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions.
• Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
• Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).

• Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams).
• Familiarity with data governance and security practices for protecting sensitive data.
• Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
• Excellent communication skills and the ability to collaborate effectively in a team environment.

Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They’re who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.

Know the Why.

Value People Above All Else.

Transparency to a Fault.

Progress, Not Perfection.

Be Good by Doing Good.

Smart People Can Disagree.

Bend but Don’t Break.

Represent Your Brand.

Think Differently.

Be Amazing, Be Fearless, Smile, Have Fun!

Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!

rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker’s new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.

rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.

rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com.