Big Data Developer
CoforgeNoida, Uttar Pradesh, India30+ days ago
Job descriptionMandatory : Spark, Scala, AWS, Hadoop 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 Senior Big Data Engineer with strong expertise in Streaming Data and Big Data Technologies, AWS & Scala Mandatory. 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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Big Data Developer • Noida, Uttar Pradesh, India
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