AWS Data Engineer
2 weeks ago
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
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