Description

You will design and manage large-scale data systems to support complex data acquisition, modeling, and storage requirements.

This role is on-site.

Responsibilities

• Define data retention policies and monitor system performance to advise on infrastructure changes.
• Implement ETL/ELT processes and orchestrate data flows at scale.
• Scale data pipelines using open-source components and AWS services.
• Mentor junior engineers and collaborate with other architects on solution delivery.
• Recommend and drive the adoption of new tools and techniques from the big data ecosystem.

Required Skills

• 10+ years of industry experience building and managing big data systems.
• Expertise in Hadoop, Spark, Kafka, Pig, Hive, and Impala.
• Proficiency with Core Java, Spring/IOC, and design patterns.
• Strong experience with SQL and NoSQL databases, including Vertica and Redshift.
• Hands-on experience building stream-processing systems using Storm or Spark-Streaming.
• Experience with messaging systems such as JMS, Active MQ, Rabbit MQ, or Kafka.
• Deep understanding of distributed computing principles and physical data modeling.
• Experience with AWS services, provisioning, capacity planning, and performance analysis.

Preferred Skills

• Experience with Cloudera, Hortonworks, Spark HDFS, and NiFi.
• Knowledge of web-based SOA architecture implementation.
• Familiarity with reporting solutions like Pentaho, PowerBI, or Looker.

Key Skills

Education

Any Graduate