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Data Engineer
Data Engineer
Fanatics E-Commerce India LLP
Keywords / Skills :
Data Engineer, Hadoop, Amazon EMR, Pig, Hive, Spark, Redshift, Big Data
Nalgonda
5 - 10 years
Posted:
2019-10-01
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APPLY
Industry
IT/Computers - Software
Function
IT
Role
Software Engineer/ Programmer
Posted On
1st Oct 2019
Job Description
Job Responsibilities
Play a key developer role and be part of building Data Infrastructure components such as Tracking, Messaging Queues, and Real Time Streaming & Batch Data Pipelines
Deliver high quality data engineering components/services that are robust and scalable
Collaborate and communicate effectively with other team members to deliver strong results
Methodical approach to areas such as Data Modeling, Data Quality
Guide others in the team on architecture, design and quality engineering practices
Leverage these foundational Data Infrastructure to integrate machine learning & statistical models into real time services and power the BI & Visualization layers
Work closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale
Job Requirements
Must have 5+ years of experience with Big Data technologies such as Hadoop, Amazon EMR, Pig, Hive, Spark, and Redshift
Must have experience in building data platform – designing and building data model, integrate data from many sources, build ETL and data-flow pipelines, and support all parts of the data platform
Must have expert level SQL programming knowledge and experience.
Expertise with at least one programming language - Python, Java or Scala
Experience in Web Services, API integration, Data exchanges with third parties is preferred
Data Analysis skill – can make arguments with data and proper visualization
Energetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverables
Knowledge of basic statistical analysis and machine learning
MS/BS in Computer Science, MIS, Mathematics, Physics or other quantitative field or relevant work experience
Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now
Key Skill(s)
Data Engineer
Hadoop
Amazon EMR
Pig
Hive
Spark
Redshift
Big Data
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About Company
Company Overview
Fanatics is the global leader in licensed sports merchandise and changing the way fans purchase their favorite team apparel and jerseys. Through an innovative, tech-infused approach to making and selling fan gear in today's on-demand culture, Fanatics operates more than 300 online and offline stores, including the e-commerce business for all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA), major media brands (NBC Sports, CBS Sports, FOX Sports) and more than 200 collegiate and professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea, Manchester City). Fanatics offers the largest collection of timeless and timely merchandise whether shopping online, on your phone, in stores, in stadiums or on-site at the world's biggest sporting events.
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Additional Comments
$job_href->{'title'}
Exp.:
0 - 2 yrs
Walkin Date:
04 May
Walkin Venue:
Bhopal
Job Details :
Experience :
2 - 6 years
Job Location :
Mumbai
Job Description :
To ensure customer service and support all operations. To create customer delight at every interaction.
Interacting with external customers and internal customers and addressing their queries, requests and complaints. Committed TATs are met consistently
Complaints Management- addressing customer complaints at the branch, system updation, coordination with Sales/HUB/ other functions for resolution.
Policy Servicing:-
Refunds processing and dispatch
Undelivered policy documents tracking and management.
Maintenance of all files and registers.
New Business Processing:-
Handling end to end New business processing starting from creation of Client id,Case start up, New business login, Follow up for policy issuance, Quality Check Follow up with HUB for policy issuance of pending cases
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