Automotive Domain- Data Engineer

3 weeks ago

Lewisville, United States Smart Bot Systems Full time
Job DescriptionJob Description

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Role: Data Engineer- Automotive Domain

Location: Lewisville, TX (Onsite)

Type: Contract/Fulltime

Job Description:

Ideal candidate should have below matching experience from Data Engineering in Real Time data streaming assignments using

1. AWS Component stack {AWS-Kinesis,FarGate /AWS-S3/AWS-EventBridge/AWS-SQS/SNS & Confluent KAFKA

Responsibilities:

1. Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scale: Handled large streaming data set (volume / size) and performed initial Data Pattern identification with AWS-Kinesis.

2. Develop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stack: Designed and developed REST APIs as prototype to support near-real-time {vehicle / any other domain based} data using SWAGGER and presented the design to the business stakeholders. Converted the prototypes to full scale development using AWS technology stack such as AWS-Event Bridge, AWS-SQS, AWS-SNS & Confluent-KAFKA.

3. Ensure product and technical features are delivered to spec and on-time in a DevOps fashion: Authored "Software-Design-Specification" based on Product Feature requirement & user stories, implemented within agile-sprint cadence of the program.

4. Contribute to overall architecture, framework, and design patterns to store and process high data volumes: Collaboratively worked with Architect and contributed on improving the large datasets by decomposing un-structured data into "Structure" , "Semi-Structured" along with design patterns {Circuit Break / MVC, etc} and designed the storage framework with AWS-S3/AWS-Dynamo-DM/AWS-RDS.

Skills:

1. Bachelors; degree in Computer Science, Informatics, or a related field required

2. 3+ years of experience in a data engineering role

3. 2+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda, IAM, Snowflake)

4. Hands-on experience with ETL tools and techniques (Desirable)

5. Basic proficiency with a dialect of ANSI SQL, APIs, and Python

6. Knowledge of and experience with RDBMS platforms, such as MS SQL Server,

7. MySQL, NoSQL, Postgres

Thanks and Regards

Puneet Kumar

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