Mobileye

Data Engineer – Temporary Position

Mobileye

full-time

Posted on:

Location Type: Hybrid

Location: Jerusalem • 🇮🇱 Israel

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSCassandraETLHadoopMongoDBMySQLNoSQLPostgresPythonSpark

About the role

  • Design, build, and maintain scalable data pipelines to process large datasets efficiently
  • Develop and implement data models and architectures that support both real-time and batch data processing
  • Ensure data integrity, security, and accuracy across all systems
  • Collaborate with data scientists, analysts, and other engineers to ensure data availability and quality
  • Optimize data retrieval and storage processes to handle large volumes of data seamlessly
  • Work with structured, semi-structured, and unstructured data, integrating various data sources
  • Troubleshoot and resolve data issues, ensuring continuous operation of the data infrastructure
  • Maintain and enhance ETL processes, ensuring scalability and performance in handling large datasets
  • Stay up-to-date with industry best practices and emerging technologies related to big data engineering

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • At least 4 years experience in data engineering, with a focus on large-scale data processing and big data technologies
  • Strong proficiency in Python
  • Experience with data pipeline and workflow management tools
  • Hands-on experience with large-scale data processing frameworks like Apache Spark, Hadoop, or similar
  • Familiarity with data modeling, ETL processes, and data warehousing concepts like Table formats. Apache Iceberg, or similar
  • Good knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Cassandra, MongoDB)
  • Experience with AWS-based data lakes, including working with Amazon S3 for storage, querying data using Amazon Athena, and managing datasets stored in Parquet format
  • Significant ownership ability.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata modelingETL processesbig data technologiesPythonApache SparkHadooprelational databasesNoSQL databasesdata warehousing
Soft skills
collaborationtroubleshootingproblem-solvingownership