We are seeking a skilled and motivated Data Engineer to join our data team and work closely with our Senior Data Scientist. In this role you will be responsible for building and maintaining robust scalable and highperformance data pipelines and infrastructure that support advanced analytics machine learning and deep learning initiatives. Your work will ensure that clean reliable and wellstructured data is available to drive insights and innovation across the organization.
- Key Responsibilities:
- Design build and maintain scalable ETL/ELT pipelines to ingest clean transform and deliver data from various sources.
- Work collaboratively with the Data Scientist to prepare data for machine learning models and deep learning frameworks.
- Implement data quality checks and monitoring systems to ensure accuracy and integrity of data.
- Develop and manage data warehouse solutions and data lakes to support advanced analytics.
- Optimize database performance and manage storage for largescale structured and unstructured datasets.
- Automate data workflows and improve data engineering processes using scripting and orchestration tools.
- Ensure data security governance and compliance best practices are followed.
Qualifications :
Education: Masters Degree in Computer Science Data Engineering Information Systems or a related field
- 35 years of experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL Python and data manipulation libraries like Pandas.
- Handson experience with data warehouse technologies (e.g. Snowflake BigQuery Redshift).
- Solid understanding of data modeling database design and performance tuning.
- Experience working with APIs streaming data and batch processing frameworks (e.g. Kafka Spark) is a plus.
- Preferred Qualifications:
- Experience supporting data science and machine learning workflows.
- Familiarity with ML Ops tools and practices.
- Strong communication skills and ability to work in a collaborative environment.
Remote Work :
No
Employment Type :
Fulltime