
Chief Data Solutions Engineer
1 week ago
Job Summary
We are seeking a highly skilled Senior Data Architect to join our team. This is a senior-level role that requires strong technical expertise in data warehousing, data modeling, and distributed computing principles.
Key Responsibilities:
- Select and integrate Big Data tools and frameworks as required.
- Design and maintain data pipelines implementing ETL processes, monitoring performance, and advising on necessary infrastructure changes.
- Translate complex technical and functional requirements into detailed designs.
- Analyze alternative solutions for data storage, processing, and more to ensure streamlined approaches.
- Mentor junior staff through technical training sessions and reviewing project outputs.
Requirements and Qualifications:
- Strong understanding of data warehousing and data modeling techniques.
- Proficient understanding of distributed computing principles - Hadoop v2, MapReduce, HDFS.
- Strong data engineering skills on GCP cloud platforms Airflow, Cloud Composer, Data Fusion, Data Flow, Data Proc, Big Query.
- Experience with building stream-processing systems using solutions like Storm or Spark-Streaming.
- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
- Experience with Spark, SQL, and Linux.
- Knowledge of various ETL techniques and frameworks, such as Flume, Apache NiFi, or DBT.
- Experience with messaging systems, such as Kafka or RabbitMQ.
- Understanding of Lambda Architecture, its advantages, and drawbacks.
We offer a collaborative and dynamic work environment where you can grow professionally and personally.
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