
Big Data Architect
1 day ago
Job Title: Big Data Architect
- Key Responsibilities:
- Create and maintain data pipeline architecture that is optimal, scalable, and efficient.
- Design and implement events/streaming-based architecture to process large datasets in real-time.
- Identify opportunities for internal process improvements by automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
- Build the necessary infrastructure to extract, transform, and load data from various sources using SQL and big data technologies like AWS.
- Develop tools for analytics and data scientist teams to assist them in building and optimizing products.
- Collaborate with data scientists to enhance functionality in data systems.
- Mandatory Qualifications:
- Proficiency in Python or Scala programming languages and expertise in Apache Spark.
- Hands-on experience with DBT (Data Build Tool) for data transformations and data modeling.
- Able to handle large datasets efficiently and optimize Spark jobs for better performance.
- Preferred Skills:
- Experience with big data tools like HDFS, S3, Spark/Flink, Hive/Hbase, Kafka/Kinesis, etc.
- Knowledge of relational SQL and NoSQL databases including Elasticsearch and Cassandra/Mongodb.
- Understanding of cloud services like AWS/GCP and stream-processing systems like Spark-Streaming/Flink.
- Strong analytic skills related to working with structured/unstructured datasets.
- Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
- Others:
- Candidates should have a few weekend side projects on GitHub.
- Contribution to open-source projects is highly valued.
- Previous experience at product companies is an asset.
- Working knowledge of backend programming languages is essential.
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