Senior Data Engineer — SQL, Big Data & Hadoop

Redolent Infotech Pvt. Ltd.; Sunnyvale (CA); On-site; USD 140,000 - 180,000; Part time

Job summary

Redolent Infotech Pvt. Ltd. is seeking a Sr. Data Engineer in Sunnyvale, CA to design and implement data pipelines using SQL and Hadoop ecosystems.

The role focuses on large data sets, distributed computing, and real-time ingestion with Kafka, with development in Java, Scala, or Python. Familiarity with Cassandra and Hadoop tools is a plus, offering a market-rate contract of 6+ months. Ideal candidates will have Teradata SQL experience, Unix shell scripting skills, ETL expertise, and comfort

Qualifications

• Advanced SQL expertise, preferably Teradata.
• Experience with large data sets and distributed computing in Hadoop ecosystem.
• Strong Hadoop scripting to process petabytes of data.
• Unix/Linux shell scripting capability.
• ETL processes experience.
• Real-time data ingestion with Kafka is a plus.
• Development experience with Java, Scala, or Python.
• Familiarity with Cassandra and Automic scheduler.
• R and SAS experience is a plus.

Skills

Advanced SQL

Unix scripting

ETL processes

Java

Python

Scala

R

SAS

Tools

Teradata

Hadoop

MapReduce

Hive

Pig

Apache Spark

Flume

Kafka

Cassandra

Automic Scheduler

Job description

Redolent Infotech Pvt. Ltd. is seeking a Sr. Data Engineer in Sunnyvale, CA to design and implement data pipelines using SQL and Hadoop ecosystems.

The role focuses on large data sets, distributed computing, and real-time ingestion with Kafka, with development in Java, Scala, or Python. Familiarity with Cassandra and Hadoop tools is a plus, offering a market-rate contract of 6+ months. Ideal candidates will have Teradata SQL experience, Unix shell scripting skills, ETL expertise, and comfort