
Data Engineering Team Lead
1 week ago
Job Overview:
We are seeking a seasoned professional to lead our data engineering team in designing and implementing cutting-edge data architectures that meet business objectives.
The ideal candidate will have a strong background in big data technologies, including Hadoop and Spark, as well as experience with NoSQL databases and data modeling tools.
Responsibilities:
- Design and implement data pipelines to ingest data from multiple sources within the organization and external providers.
- Collaborate with cross-functional teams to source data and make it available for downstream consumption.
- Work with the team to develop effective solution designs that meet business needs.
- Evaluate and troubleshoot large-scale data processing jobs to ensure optimal performance.
Key Qualifications:
- Experience working with big data technologies such as Hadoop and Spark.
- Knowledge of NoSQL databases and experience with Cosmos DB is a plus.
- Expertise in data modeling, data mapping, and ETL processing tools.
- Strong problem-solving skills and ability to debug complex issues.
- Azure Databricks and cloud infrastructure expertise is highly desirable.
About This Role:
- This role offers a unique opportunity to work on high-impact projects that drive business growth.
- Collaborate with talented engineers to design and implement innovative solutions.
- Contribute to the development of best practices and knowledge sharing within the team.
Preferred Qualifications:
- Experience with batch and streaming data pipelines using Apache Spark or Flink.
- Familiarity with cloud-based data platforms and services.
- Strong understanding of software development principles and practices.
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