Data Engineer

Robotics Technologies LLC
Mountain View, CA, United States
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Apache HTTP Server Big Data Cloud Computing Databases Information Engineering Extract Transform Load (ETL) Data Structures Data Warehousing Distributed Systems Data Flow Control Apache Hadoop
+14 more
Apache HBase Apache Hive Python (Programming Language) Apache Oozie Standard Sql Cloudera SQL Databases Google Cloud Apache Spark Pyspark Information Technology Apache Kafka Data Lakehouse Looker Analytics

Requirements

  • BS in Computer Science/Engineering, relevant technical field, or equivalent practical experience, with specialization in Data Engineering
  • Exp with (Big Data Eng, Hadoop, Hive, Python , PySpark, ETL & SQL, Any Cloud, Bachelors Degree. GCP)
  • 3-5 years of experience in Data Engineering (ETL, data lakehouse, Data Modeling)
  • Strong fundamentals: algorithms, distributed computing, data structure, database, data warehouse
  • Fluency with: Python/Java/SQL
  • Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication
  • skills, ability to multitask and manage expectations

Preferred

  • MS/PhD in Computer Science/Engineering or relevant technical field, with specialization in Data Engineering
  • 2+ years experience in Hadoop/Apache technologies (Pig, Hive, HBase, Storm, Spark, Kafka, Oozie)
  • 2+ years experience in Google Cloud Platform technologies (BiqQuery, Dataproc, Dataflow, Composer, Looker)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all