Data Engineer - HTHD @ Ford

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Data Engineer - HTHD

Ford
1 - 4 years
Multi-City, India
2 months ago
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Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru

Job Description

This role is for experienced Data Engineer that will be responsible for designing and building the foundational components required for our customer
This includes bringing disparate sources into our Data Factory and creating data products that will be used by the analytics and reporting teams
Data engineers will work in small, cross-functional teams
They will collaborate directly and continuously with product managers, designers, and product owners to release early and often
Work with data scientists and software engineers to support data acquisition activities, data solution ideation, and implementation
Work with technical and business leads to transfer global business requirements into sound solutions and implementation
Share support responsibilities for implemented components

Bachelors/Masters in Computer Science or related field, or equivalent experience

Minimum of 8+ years experience working in Data Engineering, primarily on GCP skill sets
Hands on experience developing Data engineering pipelines using Workflows Experience in troubleshooting performance issues Minimum of 3+ years of experience working in Data engineering, Big data platform and technologies including Hadoop, Hive, Sqoop, Spark, Kafka, Big Query, Terraform, Tekton, Astro, Astonomer, Data Flow, Data Proc, Data Fusion, etc
, Design data pipelines and data robots, take a vision and bring it to life Master data engineer; teaches others; works closely with IT architects Experience programming in Java and Python is a plus Experience working in Agile/XP Strong analytical and problem-solving skills Strong oral and written communication skills

GCP Skill set is mandatory. (Big Query, Python, SQL Server, Terraform, Tekton, Astro, Astronomer, DBT),

REQUIREMENTS MANAGEMENT: Identify, document, communicate and design per requirements.

DESIGN: Work with Data Product Owners to design data stores.

IMPLEMENT DATA STORES: Implement data stores on GCP, using DBT for transformations, BigQuery for data store and Astronomer for overall orchestration.

TEST: Participate in testing and adopt test driven development.

TUNE: Tune data stores (indexes, SQL queries) to improve performance.

L2 SUPPORT: Assist with customer inquiries and incidents/problems.

COLLABORATE: Work within/across teams.

Job Classification

Industry: Auto Components
Functional Area: Auto Components
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Ford
Location(s): Multi-City, India

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Keyskills: Computer science orchestration GCP Analytical Agile test driven development sqoop Troubleshooting Analytics Python

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Data Engineer - HTHD @ Ford

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