Data Engineer
Data Engineer
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Job Description
POSITION: Senior Associate reporting to Associate Director - Engineering will play an essential role in designing developing and maintaining scalable data pipelines and data infrastructure. You will work closely with data scientists analysts and other stakeholders to ensure that our data systems are efficient reliable and capable of supporting complex analytical queries. Your role will involve a mix of hands-on technical work and strategic planning to support the organizations data needs. To be successful as a Senior Data Engineer at Eversana you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills include familiarity with several programming languages and learning machine methods.
RESPONSIBILITIES:
Design build and maintain scalable data pipelines that facilitate the flow of data into machine learning models.
Collaborate with data scientists to ensure the availability of high-quality preprocessed data for model training.
Deploy machine learning models to production using tools such as TensorFlow Serving MLflow or Seldon.
Monitor and maintain the performance of machine learning models in production identifying and addressing issues like data drift or concept drift.
Work with large datasets both batch and real-time using frameworks like Apache Spark Apache Kafka and AWS Glue.
Implement and manage data versioning and experiment tracking using tools like DVC and MLflow.
Ensure data integrity and quality through validation and profiling techniques
Qualifications
Requirements:
Proficiency in Python and SQL; experience with Scala or Java is a plus.
Strong experience with Apache Spark Apache Kafka and other data processing frameworks.
Experience deploying machine learning models using TensorFlow Serving MLflow or similar tools.
Familiarity with data lakes and data warehouses (AWS S3 Google BigQuery Snowflake).
Experience with cloud platforms (AWS GCP Azure) and containerization tools like Docker and Kubernetes.
Understanding of machine learning workflows and collaboration with data scientists and ML engineers.
Strong knowledge of ETL processes batch and real-time data processing and orchestration tools (e.g. Apache Airflow)
Qualifications :
Bachelors degree in engineering Technology or Computer Science
1 years of relevant industry experience (Healthcare Pharmaceutical Consulting Enterprise level data-analytical solutio
Additional Information :
OUR CULTURAL BELIEFS:
Patient Minded I act with the patients best interest in mind.
Client Delight I own every client experience and its impact on results.
Take Action I am empowered and empower others to act now.
Grow Talent I own my development and invest in the development of others.
Win Together I passionately connect with anyone anywhere anytime to achieve results.
Communication Matters I speak up to create transparent thoughtful and timely dialogue.
Embrace Diversity I create an environment of awareness and respect.
Always Innovate I am bold and creative in everything I do.
Our team is aware of recent fraudulent job offers in the market misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites unsolicited e-mails or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.
From EVERSANAs inception Diversity Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths experiences and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity but also age disability status veteran status sexual orientation religion and many other parts of ones identity. All of our employees points of view are key to our success and inclusion is everyones responsibility.
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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
