
Principal Data Architect
19 hours ago
This is a unique opportunity to work as a Senior Data Engineer and play a key role in designing, building, and maintaining high-performance data pipelines.
The successful candidate will collaborate with cross-functional teams to develop and implement data models, ETL processes, and data warehousing solutions.
Key Responsibilities:
- Design, build, and maintain optimal data lake setups to meet business requirements.
- Assemble large and complex datasets that meet business needs and drive informed decision-making.
- Identify, design, and implement internal process improvements to increase efficiency and productivity.
- Build infrastructure for data extraction, transformation, and loading from various sources using SQL.
- Perform root cause analysis on data and processes to answer business questions and identify opportunities for improvement.
- Develop processes for data transformation, structures, metadata, dependency, and workload management.
Requirements:
- Bachelor's degree in Computer Science or related field.
- 5+ years of experience in data analytics/data engineering.
- Experience with big data tools: Hadoop, Spark, Kafka, Hive, and relational/NoSQL databases.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow.
- Strong project management and organizational skills.
Preferred Qualifications:
- Experience working with cloud platforms (AWS, Azure, Google Cloud).
- Knowledge of machine learning concepts and algorithms.
Additional Information:
Our ideal candidate will have excellent technical skills, strong communication abilities, and the ability to work collaboratively in a dynamic environment.
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