AWS-Scala Engineer

Job Description

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: Mandatory: 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