Amazon Careers Work From Home | Amazon Call Center Job Work From Home

Company Name: Amazon

Salary Package; As per the Market Standards

Work Experience: no requirements

Job Location: delhi

Qualification Required: 10th

Language: English/Hindi

Senior Manager- Data Engineering

Job Purpose As an Associate Data Engineer, Working on data engineering projects, youll be responsible for creating robust programs and algorithms that scalably process big data using distributed computing.

JOB RESPOSIBILITIES:

Propose, Develop & implement best in class, high-performance architectural solutions for a BI Data Platform on cloud infrastructure
Define and create system architecture design specifications, data mapping and data transformation rules
Develop innovative approaches on performance optimization & automation
Analyzing enterprise specifics to understand current-state data schema and data model and contribute to define future-state data schema, data normalization and schema integration as required by the project
Ensure data mapping, data quality and data validation specifications & standards and data cleansing/data scrubbing techniques adhered to consistently
Understanding business objectives and develop business intelligence applications that help to monitor & improve critical business metrics
Improve key organizational metrics by collaborating with data scientists, operations & application development teams to understand, and resolve critical business challenges by driving better visibility into data
Perform transformations on big data and automate due diligence on data quality
Collaborate with the Operations, Network, Control Tower and Business Analysis team to develop cutting edge analytics solutions that improve the business

Maintain thorough and comprehensive documentation of data schema, data models, architecture, etc.
Develop robust work products by following best practices through all stages of development, testing & deployment

ELIGIBILITY:

BE/Tech in in Engineering, Masters/PhD candidates preferred
Proficient in Python, Java & R, with sound knowledge of OOPS concepts
7-10 years of experience in building large scale distributed enterprise applications using big data technologies such as Spark & Hadoop
High level of proficiency in querying & processing data with Spark, Hive, Pig, SQL, etc.
Experience with caching and queueing technologies Kafka/Kinesis, Rabbitmq/SQS, Redis/Memcache etc.
Extensive experience solving analytical problems using quantitative approaches for large datasets
Hands on experience of developing high performing scalable Platform architecture using Public cloud like AWS & Azure
Hands on experience working with various database technologies such as, HBase, MongoDB, Neo4j, Cassandra, etc.
Working experience of a variety of cloud products and services (e.g. Amazon EC2, Amazon S3, Amazon DynamoDB, Amazon Redshift, Amazon CloudFront, Amazon EMR and/or Azure equivalent)
Knowledge of data visualization tools & technologies such as Power BI, Tableau, d3.js, etc.
Data Modeling (logical/Physical), ETL Routines
Highly motivated and innovative in approach
Should be people oriented and should have previously led teams
Excellent communication skills and ability to effectively manage stakeholders Experience with REST APIs, Python Django/Flask
Familiarity with Machine Learning and Artificial Intelligence Approaches would be preferred