Data Architect Role with Leading Automobile Company - Gurgaon, India - Skillventory

Skillventory

Verified Company

Gurgaon, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Data Architect Role with Leading Automobile Company:

From 8 to 13 year(s) of experience

- ₹ Not Disclosed by Recruiter

Gurgaon/Gurugramor

Roles and Responsibilities

Data Architect Role with Leading Automobile Company
Skills required

Must Have

Knowledge of complex data structures and the ability enhance the data to be integrated across the business

Conceptual knowledge of data and analytics, such as dimensional modelling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data Experience with cloud data services (BigQuery, BigTable, Dataproc, Dataflow, Airflow or Cloud composer-DAG, Cloud SQL, Cloud spanner, etc).

Experience with cloud technologies, GCP/AWS/Snowflake

Experience in Data modelling/Data warehouse modernization/Cloud based data lakes Experience with Big Data technologies: Spark, Kafka

Nice To Have

Worked with various data modelling tools such as Erwin or any other similar tools Hands on experience in migrating the on-premises data pipelines and Data warehouse to Cloud Platform

Analytical and design skills around the full end-to-end ETL life cycle of data pipelines in large enterprise settings

Ability to translate business requirements into technical specifications Knowledge of marketing technologies such as Adobe Experience Cloud and Pega

Key Responsibilities

Partner with the Consumer Architecture and Enterprise Architecture team on the creation and governing of the conceptual architecture that addresses the high-level business requirements which are required for building Data and AI products and as well as aligned with good engineering principles.

Partner with domain leaders and IT business partners to drive data platform and data product adoption in our business

Define cloud data platform data products and usage patterns across data solutions e.g. Data Science Sandbox, Marketing technology, ETLs, APIs, integration etc. Collaboratively develop platform product principles (e.g., ETL, etc.) and validate solutions architecture for adherence to principle and standards.

Evaluate and identify specifications, best practices, integration and proper use of cloud services as they relate to overall data platform and marketing technology Lead standard-setting and architecture and ensures successful evolution and adherence to these within project

Prepare relevant High
- and low-level designs & documentation for end-to-end GCP data solutions (storage, integration, processing, access)

Assemble large, complex data sets that meet functional/non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios and provide deployment guidance

Location: