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 :

Mandatory : 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