Position Details

Salary $119K – $227K USD / year

Type Not Specified

Experience mid

Exp. Years 7+ years

Education Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience

Category Data & Analytics

About this role

This role involves designing and maintaining large-scale data pipelines and analytics infrastructure to support automotive data insights and operational efficiency.

Key Responsibilities

Build and optimize data pipelines
Manage large data sets
Implement data models
Collaborate with data teams
Ensure data quality

Technical Overview

The technical environment includes SQL databases, Hadoop, Spark, Kafka, Storm, and data pipeline tools, with a focus on scalable data architecture and analysis.

Ideal Candidate

The ideal candidate is a senior data engineer with at least 7 years of experience in building large-scale data pipelines, working with Big Data technologies like Hadoop, Spark, and Kafka, and proficient in SQL and data modeling, preferably in the automotive industry.

Must-Have Skills

SQLPostgreSQLBig DataHadoopSparkKafkaStormData pipelineData modelingData analysis

Nice-to-Have Skills

AzkabanAirlflowData workflow managementAWSRedshiftData wrangling tools

Tools & Platforms

SQLPostgreSQLCassandraHadoopSparkKafkaStormAzkabanAirflowAWSRedshift

Required Skills

SQLPostgreSQLCassandraHadoopSparkKafkaStormData pipelineData modelingData analysis

Hard Skills

SQLPostgreSQLCassandraBig DataHadoopSparkKafkaStormData pipelineData warehouseData modelingData analysisData wranglingETLData architecture

Soft Skills

Problem-solvingOrganizationMulti-taskingCommunicationCollaboration

Industry & Role

Industry Automotive

Job Function Develop and maintain data infrastructure for automotive analytics

Role Subtype Data Engineer

Tech Domains SQL / PostgreSQL, Hadoop, Spark, Kafka, Storm, Data pipelines, Data warehousing

Keywords for Your Resume

Senior Data EngineerData EngineerData pipelineBig DataHadoopSparkKafkaStormData modelingData analysisETLData wranglingData architectureSQLPostgreSQLCassandraAzkabanAirflowRedshift

Deal Breakers

Less than 7 years of experience, Lack of experience with Hadoop, Spark, Kafka, No SQL or data modeling skills, No experience with data pipeline tools

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