Senior Data Engineer Data Scientist
Senior Data Engineer Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Job Title: Senior Data Engineer / Data Scientist
Location: Indianapolis IN or Richardson TX
Job Type: Fulltime/Contract
Experience Required: 10 years
Job Description:
We are looking for a highly experienced Senior Data Engineer/Data Scientist to join our team. The ideal candidate will possess a deep understanding of data engineering principles data science methodologies and advanced analytics. This role requires expertise in big data technologies data modeling machine learning and cloud computing solutions along with a proven track record of delivering impactful datadriven insights.
Key Responsibilities:
- Data Engineering:
- Design build and maintain scalable data pipelines using modern ETL frameworks.
- Implement data models and architectures to support data processing and analytics.
- Optimize data storage solutions in cloud environments (e.g. AWS Azure Google Cloud) for performance and scalability.
- Ensure data quality integrity and security throughout the data lifecycle.
- Data Science & Analytics:
- Develop and deploy machine learning models to solve complex business problems and enhance decisionmaking.
- Conduct exploratory data analysis to uncover trends patterns and insights from large datasets.
- Collaborate with business stakeholders to define analytical requirements and deliver actionable insights.
- Communicate findings and recommendations clearly to both technical and nontechnical audiences.
- Collaboration & Leadership:
- Lead crossfunctional teams in the design and implementation of datadriven solutions.
- Mentor and coach junior data engineers and data scientists fostering a culture of learning and innovation.
- Drive data strategy initiatives and contribute to the establishment of best practices in data engineering and data science.
- Research & Development:
- Stay uptodate with the latest advancements in data science machine learning and big data technologies.
- Experiment with new tools and methodologies to continuously improve data processes and analytics capabilities.
Required Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Statistics or a related field.
- 10 years of experience in data engineering data science or a related field.
- Strong expertise in programming languages such as Python R or Java.
- Proficiency in big data technologies (e.g. Hadoop Spark) and data processing frameworks.
- Deep understanding of machine learning algorithms and frameworks (e.g. TensorFlow Scikitlearn).
- Experience with cloud platforms (e.g. Azure AWS Google Cloud) and data warehousing solutions (e.g. Snowflake Redshift).
Preferred Qualifications:
- Advanced certifications in data engineering data science or cloud technologies (e.g. Google Cloud Professional Data Engineer Microsoft Certified: Azure Data Scientist Associate).
- Experience with containerization and orchestration tools (e.g. Docker Kubernetes).
- Familiarity with data governance data privacy laws and compliance standards.
Employment Type
Full Time
