AWS Data Engineer

• The Ideal candidate must drive end-to-end data pipeline development efforts for on-time delivery of high-quality data solutions that conform to requirements and comply with all applicable standards.

• Should have to design, and implement solutions that are automated, scalable, and sustainable while minimizing defects and technical debt.

• Must have to evaluate and analyze the current system architecture to improve uptime and responsiveness. Provides recommendations and executes activities including database tuning, data structure optimization, and server resource scaling.

• Need to proactively find opportunities for data acquisition to enrich our data environment.

• Should actively participate in code reviews and effectively communicate issues and risks to stakeholders

• Have to be involved in all areas of database design, performance, and reliability.

• Must be able to investigate and troubleshoot complicated analytic applications and stability issues.

• Need to ensure databases are operational and provide valid and relevant data.

• Should have to do unit testing and regression testing to ensure defect-free builds and releases.

• Need to identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, data acquisition, data enrichment, re-designing infrastructure for greater scalability, etc.

• Perform database performance tuning methods to ensure uptime and data refresh rate SLAs are met.

• Should be a part of data engineering team code reviews and offer recommendations regarding data architecture.

• Must have to create and maintain data structures and data models to support data at all stages of the data pipeline development lifecycle.

Required Skills:

• The candidate should be an expert in Python, Spark, and Scala, as well as database technology Source Code Control, and Able to perform data validation, delivery, quality, and integrity.

• Should be well-versed in Datamart (or) Data Warehousing.

• Familiarity in building scalable production systems with high availability using Elastic load balancers and auto Scaling on different regions and availability zones.

• Experience in Warehouse: SQL, Amazon Redshift, EMR, etc.

• Experience in RDBMS and able to work with databases (PostgreSQL, Aurora)

• Should be able to work with serverless functions (Lambda, step functions) and OLAP (Multidimensional).

• Have experience in AWS Cloud (SNS, SQS, Redshift, Lambda).

• Good to be a constructive communicator and capable of discussing difficult issues effectively with team members and customers.

• Bachelor or Master's degree in Computer Science or a relevant degree is a must.

Note:

Candidates are required to attend Phone/Video Call / In-person interviews and after Selection, the candidate (He/She) should go through all background checks on Education and Experience.

Please email your resume to: bhanupriyam

After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.