AWS Data Engineer

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 :