Description
The project is to design and build the foundational components required for Ford’s Analytics and Reporting Operations. This includes bringing disparate sources into Ford’s Hadoop data lake and creating data products that will be used by the analytics and reporting teams. The project Team will work in Agile way, collaborating directly and continuously with product managers, designers, and product owners to release early and often. Also they will work with data scientists and software engineers to support data acquisition activities, data solution ideation, and implementation .
This project includes working with technical and business leads to transfer global business requirements into sound solutions and implementation . Also share the support responsibilities for implemented components.
Responsibilities
The project is to design and build the foundational components required for Ford’s Analytics and Reporting Operations. This includes bringing disparate sources into Ford’s Hadoop data lake and creating data products that will be used by the analytics and reporting teams. The project Team will work in Agile way, collaborating directly and continuously with product managers, designers, and product owners to release early and often. Also they will work with data scientists and software engineers to support data acquisition activities, data solution ideation, and implementation .
This project includes working with technical and business leads to transfer global business requirements into sound solutions and implementation . Also share the support responsibilities for implemented components.
Responsibilities
- 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 Hadoop data lake 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.
Skills
Must have
- – Minimum of 7+ years. experience working with Informatica Big Data Manager (BDM);
– Hands on experience developing Data engineering pipelines using Informatica BDM Workflows;
– Experience in troubleshooting performance issues and performance with Informatica BDM;
– Minimum of 3+ years of experience working in Data engineering, Big data platform and technologies including Hadoop, Hive, Sqoop, Spark, Kafka;
– Design data pipelines and data robots, take a vision and bring it to life;
– Master data engineer;
– Teaches others;
– Works closely with IT architects .
Nice to have
- Experience programming in Java and Python is a plus
Experience using Alteryx and data visualization tools especially Qlikview is a plusExperience working in Agile/XP
Strong analytical and problem-solving skills
Strong oral and written communication skills .
Experience with Informatica EDC (Enterprise Data Catalog) and EDP (Enterprise Data Preparation) is a plus.
Languages
English: C2 Proficient
Seniority
Senior
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