
Expert Big Data Architect
23 hours ago
Job Title: Data Engineer
We are looking for a skilled data engineer to design, develop, and maintain large-scale data systems. The ideal candidate will have hands-on experience with big data tools, data pipelines, and cloud services.
Responsibilities- Create and maintain optimal data pipeline architecture
- Create and maintain events/streaming based architecture/design
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Proficiency in either Scalar or Python, expertise in Spark, and experience with performance tuning and optimization. DBT is also Mandatory.
- Experience with big data tools: HDFS/S3, Spark/Flink,Hive,Hbase, Kafka/Kinesis, etc.
- Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS /GCP cloud services
- Experience with stream-processing systems: Spark-Streaming/Flink etc.
- Experience with object-oriented/object function scripting languages: Java, Scala, etc.
- Experience building and optimizing 'big data' data pipelines, architectures and data sets.
- Strong analytic skills related to working with structured/unstructured datasets.
- Have a few weekend side projects up on GitHub
- Have contributed to an open-source project
- Have worked at a product company
- Have a working knowledge of a backend programming language
Note: Candidate should be really good in either Scala OR Python (not necessarily both).
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