Data Engineer II, International Seller Growth Job Vacancy in ADCI HYD 13 SEZ Hyderabad, Telangana – Updated today

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Full Details :
Company Name : ADCI HYD 13 SEZ
Location : Hyderabad, Telangana
Position :

Job Description : 3+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL

Job summary

JOB DESCRIPTION:
ISS Data engineering team is looking for a Data Engineer to play a significant role in building our large-scale, high-volume, high-performance database solutions to drive WW Seller growth on Amazon.

The ideal candidate will have excellent analytical abilities to synthesize data into crisp and clear recommendations for Data Scientists and product leaders. To be successful in this role, you should have broad skills in database design, ETL pipeline development in spark & optimize large and complex data sets. You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have strong technical background yet verbally and cognitively agile enough to participate in strategy discussions with Amazon’s senior management team.

Roles and Responsibilities:

Design and deliver big data architectures for experimental and production system
Develop machine learning workflows and integrate with DDB & User interface
Develop and maintain datasets in AWS Dynamo DB & AWS S3
Leverage EMR to preprocess, cleanse and transform large volume of data sets
Orchestrate step functions using python
Optimize large scale data extraction pipelines to enhance user experience
Collaborate with Data Scientists, Product managers, Software engineers and ISS Senior leadership and work towards achieving organizations goals
Innovate and drive strategic decisions during design discussions with stakeholders of the project(Data scientists, SDE’s, Project managers & Senior ISS Leadership)
Develop and support mission critical application which is widely used by sellers across the globe
Architect highly efficient data and reporting structures, making a tradeoff between scalability, performance and user functionality needs, using expert knowledge in software development technologies

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

BASIC QUALIFICATIONS:

5+ Years of experience as a ML Engineer / Data engineer in to ML domain with proven expertise in at least one database technology such as Hadoop, EMR, Redshift, Spark or Scala and one ML model implementation
Coding proficiency in Python, Shell & Spark
Experience with scalable model training leveraging big data platform
Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras etc.
Experience developing and supporting machine learning production system
Experience with at least one massively parallel processing data technology such as Spark or Hadoop based big data solution
Experience in building highly available distributed systems of data extraction, ingestion and processing of large data sets
Excellent stakeholder management and proven communication skills with both business and technical teams
A desire to work in a collaborative, intellectually curious environment with a strong “Learn and Be Curious” attitude
You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions
Experience working with AWS cloud environment with a strong understanding of DDB, S3, Redshift, Step functions etc.
Experience working with both supervised and unsupervised machine learning models
Experience working with Orchestration tools such as Apache Airflow
Experience working with Amazon Sage maker (AWS Machine Learning Platform)
Experience in operating multilevel abstraction when training and deploying machine learning models
Knowledge of Advanced Statistics and implementing ML models.

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