
Chief Data Strategist
1 week ago
We are seeking a seasoned Senior Data Architect to spearhead our data architecture initiatives and drive innovation.
- Key Responsibilities:
- Identify and integrate leading-edge Big Data tools and frameworks to deliver high-quality solutions.
- Design, develop, and maintain robust data pipelines implementing ETL processes, ensuring optimal performance and advising infrastructure enhancements as needed.
- Translate complex technical and functional requirements into detailed designs that meet business needs.
- Analyze and investigate alternative solutions for data storage and processing to ensure streamlined approaches.
- Provide mentorship to junior staff through technical training sessions and review of project outputs.
Required Skills and Qualifications:
- A strong understanding of data warehousing and data modeling techniques is essential.
- Proficiency in distributed computing principles, including Hadoop v2, MapReduce, and HDFS, is required.
- Strong data engineering skills on GCP cloud platforms, including Airflow, Cloud Composer, Data Fusion, Data Flow, Data Proc, and Big Query, are necessary.
- Experience with building stream-processing systems using solutions like Storm or Spark-Streaming is desired.
- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala, is beneficial.
- Experience with Spark, SQL, and Linux is highly valued.
- Knowledge of various ETL techniques and frameworks, including Flume, Apache NiFi, or DBT, is advantageous.
- Experience with messaging systems, such as Kafka or RabbitMQ, is preferred.
- A good understanding of Lambda Architecture, its advantages, and drawbacks is essential.
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