Senior Data Engineer - Spark, Analytics & Pipelines

Redolent Infotech Pvt. Ltd.; San Bruno (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Redolent Infotech Pvt. Ltd. seeks a Sr. Data Engineer in San Bruno, CA to design and optimize backend data pipelines, leveraging Hadoop, Spark, Hive, and SQL. The role demands strong programming skills in Python/Java/Scala and hands-on analytics experience.

You will collaborate with analytics teams to deliver actionable insights, migrate data sources, and ensure data quality acrossMarketing and retail datasets. 5+ years in data engineering preferred; DOE for rate.

Qualifications

• Strong background in SQL and Hive with HiveQL.
• Experience building data pipelines using PySpark, Hive, and Spark.
• Proficient in Python, Java, or Scala.
• Experience with Adobe Analytics or Google Analytics.
• 5+ years of data engineering experience, preferably in retail.
• BS degree in a technical field.

Responsibilities

• Develop and optimize data pipelines for analytics needs.
• Transform business requirements into scalable data models.
• Collaborate with product and engineering teams.
• Work with large datasets on distributed systems (Hadoop/Spark).

Skills

SQL

Hive

Python

Java

Scala

Analytics

Big data

Education

BS degree in Computer Science, Mathematics, or Statistics

Tools

PySpark

HiveQL

Spark

Google Analytics

Adobe Analytics

Teradata

Hadoop

Kafka

Tableau/PowerBI

Job description

Redolent Infotech Pvt. Ltd. seeks a Sr. Data Engineer in San Bruno, CA to design and optimize backend data pipelines, leveraging Hadoop, Spark, Hive, and SQL. The role demands strong programming skills in Python/Java/Scala and hands-on analytics experience.

You will collaborate with analytics teams to deliver actionable insights, migrate data sources, and ensure data quality acrossMarketing and retail datasets. 5+ years in data engineering preferred; DOE for rate.