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data engineer
1 month ago
Integrate AWS Services such as Lambda, DynamoDB, EC2, RDS, S3, Athena, Data pipeline, API gateway, Glue, EMR etc. in reporting application to improve the accessibility/efficiency
Write scripts and troubleshoot for performance using relevant programming languages like SQL, Spark and Python
Develop and Implement ETL jobs using AWS Glue to extract, transform, and load data from various sources
Design and implement scalable data solutions using AWS, PySpark, Python and other related services
Work closely with Data and Analytics team to build Data Lake using various AWS services like EMR, S3, DynamoDB, Lambda etc., Apache Airflow, PySpark, and HIVE
Use AWS data pipeline for Data Extraction, Transformation and Loading from homogeneous or heterogeneous data sources
Work on migration of PySpark framework into AWS Glue for enhanced processing
Design and Develop web applications using Java EE, Python, Web Services and AWS Qualified candidates will be responsible for API design, implementation, testing and prod support.
They will work on a data modernization project which will utilize multiple AWS Services Tech needs: Java AWS Services - Glue, EMR API development SpringBoot services
They are aws tech experience. dynamo and/or azure db.
Knowledge of Resiliency patterns and chaos testing. Kafka knowledge
Nice to have:Architecture experience in cloud or legacy systems. Building large scale systems. Java 11 understanding. spring boot experience and jersey framework knowledge, micro service architecture, graph ql implementation, Performance tuning of Java rest APIs.
Design, Model, Develop, Test and Implement using Big Data technologies like Python, Pyspark, Hadoop, UNIX and SQL
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