
Chief Data Infrastructure Specialist
1 week ago
We are seeking a highly skilled Senior Data Engineer to join our team. The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure.
The ideal candidate will have extensive experience in big data tools, cloud platforms, and data integration techniques. They will also have expertise in SQL and working with relational and NoSQL databases.
Key Responsibilities:- Design and develop scalable ETL/ELT pipelines to ingest, transform, and integrate data from various sources.
- Implement real-time data streaming and batch processing solutions to support diverse business needs.
- Build and optimize data storage solutions, including data lakes, data warehouses, and databases.
- Ensure data systems and pipelines are scalable, secure, and performant.
- Clean, transform, and prepare raw data into usable formats for analytics and machine learning.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 7 to 8 years of experience as a Data Engineer or in a similar role, with expertise in building and maintaining data pipelines and infrastructure.
- Hands-on experience with big data tools, cloud platforms, and data integration techniques.
- Expertise in SQL and working with relational and NoSQL databases.
- Experience with data orchestration tools (e.g., ODI, SSIS, Apache Airflow, dbt, Prefect).
- Proficiency in programming languages like Python, Java, or Scala.
- Familiarity with data processing frameworks (e.g., Apache Spark, Kafka).
- Competitive salary.
- Health benefits.
- Professional development opportunities.
- Inclusive work culture.
Mid-Senior level.
Employment Type:Full-time.
This is a challenging and rewarding opportunity for an experienced Data Engineer to take their career to the next level.
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