AWS Data EngineerCoforge • pune, maharashtra, in
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AWS Data Engineer
Coforge • pune, maharashtra, in
30+ days ago
Job descriptionMandatory : Spark, AWS, Hadoop, Python Big Data Tools : EMR, Glue, Hive, HDFS, HBase, MapReduce Streaming & Messaging : Kafka, Kinesis, Flink, Spark Streaming Data Ingestion : Apache NiFi, Airflow, Sqoop, Oozie Cloud Platforms : AWS (preferred), Hortonworks, Cloudera, MapR Programming : Scala (with Spark), Python (optional) Databases : DynamoDB, NoSQL, HBase Others : AWS Athena, Lake Formation, CloudFormation
We are seeking a highly skilled and experienced AWS Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS, Python, & Spark. The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks.
Key Responsibilities :
- Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data .
- Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway .
- Work extensively with streaming platforms like Kafka, Flink, Spark Streaming .
- Develop and optimize data ingestion workflows using Apache NiFi, Airflow, Sqoop, Oozie .
- Build and maintain data lakes and analytics platforms using AWS Lake Formation .
- Hands-on development using Scala with Spark for distributed data processing.
- Work with NoSQL databases including DynamoDB, HBase , and Hadoop ecosystem tools like MapReduce, Hive, HDFS .
- Collaborate with cross-functional teams to deliver high-performance data solutions.
Technical Skills Required :
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Aws Data Engineer • pune, maharashtra, in
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