Big Data Architect
3 weeks ago
Description:
We are seeking a highly skilled Big Data Solutions Expert to join our team at Coforge. As a key member of our data engineering team, you will be responsible for designing and implementing scalable data architectures on AWS.
Key Responsibilities:
- Design and implement data ingestion, preparation, and transformation pipelines using AWS services.
- Develop efficient frameworks for development and testing using AWS Dynamo DB, EKS, and Kafka.
- Enable data governance and data discovery on Hadoop platforms.
- Build data processing frameworks using Spark and HQL.
- Exposure of security frameworks with Kerberos, Ranger, and Atlas.
- Exposure of data pipeline automation using DevOps tools.
- Exposure of job monitoring frameworks along with validations automation.
- Exposure of handling structured, unstructured, and streaming data.
Requirements:
- Solid hands-on and solution architecting experience in Big-Data technologies (AWS preferred).
- Hands-on experience in AWS Dynamo DB, EKS, Kafka, Kinesis, Glue, and EMR.
- Hands-on experience of programming languages like Scala with Spark.
- Good command and working experience on Hadoop Map Reduce, HDFS, Hive, HBase, and/or No-SQL databases.
- Hands-on working experience on any of the data engineering analytics platforms (Hortonworks, Cloudera, MapR, AWS).
- Hands-on experience on data ingestion Apache NiFi, Apache Airflow, Sqoop, and Oozie.
- Hands-on working experience of data processing at scale with event-driven systems, message queues (Kafka, Flink, Spark Streaming).
- Hands-on working experience with AWS services like EMR, Kinesis, S3, CloudFormation, Glue, API Gateway, and Lake Foundation.
- Hands-on working experience with AWS Athena.
- Data warehouse exposure on Apache NiFi, Apache Airflow, and Kylo.
- Operationalization of ML models on AWS (e.g., deployment, scheduling, model monitoring).
- Feature engineering data processing to be used for model development.
What We Offer:
We offer a competitive salary, comprehensive benefits package, and opportunities for growth and professional development.
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