Sr. Data Engineer ( SQL / Big data / Hadoop )

Redolent Infotech Pvt. Ltd.

Sunnyvale (CA)

On-site

USD 140,000 - 180,000

Part time

12 days ago

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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

Sr. Data Engineer ( SQL / Big data / Hadoop )

We have following urgent role with our DIRECT client


Title: Sr. Data Engineer ( SQL / Big data / Hadoop )


Location: Sunnyvale, CA


Duration: 6+ Months


Rate: Market


Technical Requirements



  • Advanced SQL (preferably Teradata)

  • Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spar\"k\", etc.).

  • Strong Hadoop scripting skills to process petabytes of data

  • Experience in Unix/Linux shell scripting or similar programming/scripting knowledge

  • Experience in ETL/ processes

  • Real time data ingestion (Kafka) Nice to Have

  • Development experience with Java, Scala, Flume, Python

  • Cassandra

  • Automic scheduler

  • R/R studio, SAS experience a plus

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