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AWS Data Architect

2 months ago


Visakhapatnam, India Tata Consultancy Services Full time

BP is seeking experienced AWS data engineers for our data engineering organization. As a member of our team, you will develop highly-performant, scalable and available data pipelines for bp internal- and external-facing business domains. You must be able to understand business data requirements, be familiar with cloud-based data pipelining tools and thrive working in a fast-paced environment.


Responsibilities

• As a member of our team, you will design, develop, test and maintain highly performant, scalable, robust and available data pipelines for our business teams.

• Work closely with the data science and engineering team and the data platform team to implement automated data pipeline workflows in the AWS cloud platforms to enable data ingestion, processing, and distribution.

• Deploy scalable solutions typical to critical bp business environments.

• Build the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.

• Build prototypes and workflows to try out new ideas in an iterative manner.



Qualifications

• 3+ years of hands-on software development, data engineering, and systems architecture

• 2+ years of experience in designing, developing and maintaining high performance, low latency and large-scale data pipelines.

• 2+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.

• 2+ years in cloud data engineering experience in AWS (Redshift, Glue, EMR, Athena, StepFunction, CloudFormation, CloudWatch)

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines

• Experience with modern data technologies such as SQL and non-SQL databases, REST / GraphQL APIs, data event streaming technologies, and in-memory data storage

• Experience with version control systems like Github and deployment & CI/CD tools

• Excellent communication skills, both verbal and written