AWS Data Solutions Architect

12 hours ago

Jamnagar, Gujarat, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

**Job Overview**

We are seeking a highly skilled and experienced data engineer to join our team. The ideal candidate will have a strong background in AWS services, including Glue, EMR, Lambda, and expertise in data modelling, Python, SQL, PartiQL and integrating third-party APIs from scratch.

The successful candidate will be responsible for designing, developing and implementing end-to-end data engineering solutions from ground up on the AWS platform using services such as Glue, EMR, Lambda, and more.

They will also be responsible for designing and implementing scalable DynamoDB databases, optimizing performance and ensuring data consistency, throughput, and storage efficiency.

In addition, the candidate will collaborate with cross-functional teams and stakeholders to gather data requirements and understand business objectives.

They will architect and implement data models and schemas that align with best practices and optimize query performance.

Furthermore, they will build robust and scalable data pipelines to extract, transform, and load (ETL) data from diverse sources into target systems.

They will integrate third-party APIs to retrieve and ingest data from external systems, ensuring data accuracy and reliability.

Moreover, they will perform data profiling, data cleansing, and data quality checks to ensure accuracy and consistency.

Additionally, they will optimize SQL queries and database performance, leveraging SQL tuning techniques and indexing strategies.

Finally, they will implement data governance and security measures to protect sensitive data throughout the pipeline.

**Requirements**
  • Bachelor's degree in Computer Science or a related field.
  • Minimum of 2+ years of experience in data engineering, specifically in building and maintaining data pipelines from scratch
  • Strong proficiency in AWS services such as Glue, EMR, Lambda, Dynamo DB, Postgres.
  • Expertise in data modelling, schema design, and relational and non-relational database concepts.
  • Solid working knowledge of SQL, SQL tuning, and data modeling best practices.

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