Chennai, Tamil Nadu
Actively hiring, first seen by us todayEmployment type in the employer’s posting: Full timeFrom the employer’s posting
3+ years of experience with SQL and Python
2+ years of experience with GCP or AWS cloud services; Strong candidates with 5+ years in a traditional data warehouse environment (ETL pipelines with Informatica) will be considered
3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
Experience with GCP cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions and Pub/Sub.
Familiarity with big data and machine learning tools and platforms. Comfortable with open source technologies including Apache Spark, Hadoop, Kafka.
1+ year experience with Hive, Spark, Scala, JavaScript.
Minimum Qualifications - Bachelors Degree - 3+ years of experience with SQL and Python
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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- Familiarity with big data and machine learning tools and platforms. Comfortable with open source technologies including Apache Spark, Hadoop, Kafka. - 1+ year experience with Hive, Spark, Scala, JavaScript. - Strong oral, written and interpersonal communication skills
- Bachelors Degree - 3+ years of experience with SQL and Python - 2+ years of experience with GCP or AWS cloud services; Strong candidates with 5+ years in a traditional data warehouse environment (ETL pipelines with Informatica) will be considered
- Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams. - Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more Ford Pro verticals. This data will be landed in GCP BigQuery. - Build cloud-native services and APIs to support and expose data-driven solutions.
- 3+ years of experience with SQL and Python - 2+ years of experience with GCP or AWS cloud services; Strong candidates with 5+ years in a traditional data warehouse environment (ETL pipelines with Informatica) will be considered - 3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
Job Description: - Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams. - Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more Ford Pro verticals. This data will be landed in GCP BigQuery.
Preferred Skills: - Experience with GCP cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions and Pub/Sub. - Inquisitive, proactive, and interested in learning new tools and techniques.
- Inquisitive, proactive, and interested in learning new tools and techniques. - Familiarity with big data and machine learning tools and platforms. Comfortable with open source technologies including Apache Spark, Hadoop, Kafka. - 1+ year experience with Hive, Spark, Scala, JavaScript.
Complete your application on www.careers.ford.com. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
This is an exciting and fast-paced role, which requires exceptional technical data and Data Engineering skills with the opportunity to create huge impact to Ford Pro Commercial business.
Pro 360 Data Analytics & AI Portfolio: Leads design and product teams wi create the operational core data capability for Ford Pro Tech. Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the environment, third-party data evaluations, data quality, creating intelligence layers for ease of use.
Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more Ford Pro verticals. This data will be landed in GCP BigQuery.
Build cloud-native services and APIs to support and expose data-driven solutions.
Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions.
Design, build and launch shared data services to be leveraged by the internal and external partner developer community.
Building out scalable data pipelines and choosing the right tools for the right job. Manage, optimize and Monitor data pipelines.
Provide extensive technical, strategic advice and guidance to key stakeholders around data transformation efforts. Understand how data is useful to the enterprise.
Qualifications for Internal Candidates
Minimum Qualifications
Preferred Skills:
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Chennai, Tamil Nadu
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