Talent500 Hiring Drive 2024 For Data Engineer [T500-10613] | Location Chennai

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Talent500 Hiring Drive 2024: Talent500 Hiring Drive 2024 for its Data Engineer [T500-10613]. Talent500 Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s Degree. if you are interested, please apply as soon as possible.

Company Name: Talent500

Role: Data Engineer [T500-10613]

Location: Chennai

Experience: 2+ years

Qualification: Bachelor’s Degree

Batch: Any

Job Type: Full Time

Salary: 14.0 LPA (Expected)

Talent500 Hiring Drive 2024

Job Description:

  • As a Data Engineer, you will leverage your technical expertise in data, analytics, cloud technologies, and analytic software tools to identify best designs, improve business processes, and generate measurable business outcomes.
  • You will work with Data Engineering teams from within D&A, across the Pro Tech portfolio and additional Ford organisations such as GDI&A (Global Data Insight & Analytics), Enterprise Connectivity, Ford Customer Service Division, Ford Credit, etc.


  • Bachelor’s Degree
  • 2+ years of experience with SQL and Python
  • 2+ years of experience with GCP or AWS cloud services;
  • Strong candidates with 2+ years in a traditional data warehouse environment (ETL pipelines with Informatica) will be considered
  • 2+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
  • Comfortable with a broad array of relational and non-relational databases.
  • Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse)
  • Experience with GCP cloud services including BigQuery, Cloud Composer, Dataflow, Cloud SQL, GCS, Cloud Functions and Pub / Sub.
  • 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.
  • Strong oral, written and interpersonal communication skills
  • Comfortable working in a dynamic environment where problems are not always well-defined.
  • M.S. in a science-based program and / or quantitative discipline with a technical emphasis.


  • 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.
  • 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.

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