Ford is hiring Data Engineer 2024 | Apply Right Now

Role: Data Engineer
Experience: 1 – 4 years
Salary: Not Disclosed
Location: Chennai
Company: Ford

About Ford Company

Ford is a circle of relatives company, one that spans the globe and has shared ideals. We cost providers to each other and the arena as plenty as to our customers. Generations have made their memories with us and blanketed us with their hopes and goals. After a hundred and twenty years, we’re used to adapting to and leading exchange. That’s why we are evolving to focus on offerings, reports, and software as well as cars.

Data Engineer Description

The Data Engineer could be chargeable for developing, constructing, checking out, and keeping architectures consisting of databases and big-scale processing systems. This role requires deep expertise in information modeling, ETL tactics, and massive information technology. The successful candidate will paint closely with facts scientists, analysts, and different stakeholders to ensure that facts structures are optimized for overall performance and reliability.

Key Responsibilities

Design, increase, and preserve scalable facts pipelines to acquire, process, and save huge volumes of facts from diverse sources.
Implement ETL (Extract, Transform, Load) techniques to ensure records are correctly converted and loaded into facts storage solutions.
Optimize records pipelines for overall performance, ensuring low latency and excessive throughput.
Design and manage database schemas and records fashions to aid business necessities and data analytics wishes.
Ensure information integrity, consistency, and security across all databases.
Implement indexing and partitioning strategies to enhance question overall performance.
Work with massive records technologies which include Hadoop, Spark, and Kafka to manage and manage big datasets.
Develop and install information processing jobs using frameworks like Apache Beam, Flink, or similar technologies.
Optimize and track big facts environments to address huge-scale facts processing effectively.
Integrate statistics from several sources, consisting of APIs, relational databases, and NoSQL databases.
Ensure statistics are ingested in actual-time or batch mode in keeping with the commercial enterprise needs.
Implement information first-rate exams and validation approaches to hold exceptional statistics.
Implement tracking solutions to song the performance and reliability of statistics pipelines and structures.
Troubleshoot and remedy facts pipeline problems, ensuring minimal downtime and records loss.
Conduct everyday upkeep and updates to facts infrastructure to ensure the highest quality performance.
Ensure compliance with statistics governance and facts privateness regulations.
Implement data safety features to guard against touchy facts against unauthorized get admission.
Maintain particular documentation of information pipelines, methods, and structures for transparency and compliance.
Stay updated with today’s tendencies and technologies in facts engineering and huge information.
Evaluate and undertake new gear and technologies that may improve information processing talents and performance.
Continuously improve and automate facts engineering approaches to enhance productivity and scalability.

Data Engineer Qualifications

Education:

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related area.

Experience:

five+ years of revel in records engineering or a similar function.
Proven revel in information modeling, ETL procedures, and information pipeline improvement.
Experience with massive information technology and frameworks.

Data Engineer Skills

Proficiency in programming languages such as Python, Java, or Scala.
Strong knowledge of SQL and revel in with relational databases (e.g., PostgreSQL, MySQL).
Experience with big statistics technology (e.g., Hadoop, Spark, Kafka).
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and

Desired Skills

Highly powerful in running with other technical experts, Product Managers, UI/UX Designers, and enterprise stakeholders
Delivered products that consist of internet front-end improvement; JavaScript, CSS, frameworks like Angular, and many others.
Comfortable with Continuous Integration/Continuous Delivery gear and pipelines e. G. Tekton, Cloud Build, and so on.
Experience with gadget getting-to-know, mathematical modeling, and records analysis is a plus
Experience with CA Agile Central (Rally), backlogs, iterations, consumer memories, or comparable Agile Tools
Experience in the improvement of microservices
Understanding of fundamental facts modeling
Strong analytical and trouble-solving competencies
Bachelor’s degree in Computer Science, Engineering, or a related subject
Proven enjoy operating with
At least one of the following cloud platform technologies: GCP, AWS, MS Azure, IBM Cloud, or VMware Cloud
Continuous integration/continuous transport gear and pipelines (e.g., Jenkins, git/GitHub )
Infrastructure as Code equipment (Preferred: Terraform)
Proficiency in Java and Python for backend improvement and information processing
Significant enjoyment and information on the Agile method with product team experience
Solid know-how in SQL language and database control
Collaborate with move-practical groups to lay, broaden, and maintain software program programs leveraging Google Cloud technologies
Utilize CA Agile Central (Rally) to manipulate venture workflows and ensure well-timed shipping of software solutions
Develop and deploy APIs to facilitate information integration and get admission, while also specializing in information first-class and validation
Leverage SQL language and database management skills to optimize records processing, garage, and great manipulate
Utilize Angular for front-end development and consumer interface layout to enhance data visualization and consumers enjoy
Work with Kafka, Pubsub, Postgres, and MySQL to combine and optimize software answers with a focus on improving UX and keeping excessive data high-quality standards
Support information first-rate projects via imposing tactics and gear to ensure the accuracy, consistency, and reliability of statistics across analytics platforms
Contribute to the development and implementation of AI/ML solutions to pressure records-driven insights and choice-making