Staff Data Engineer # 8022
India, Hyderabad
Fanatics Inc
Fanatics offers the broadest assortment of fan merchandise and memorabilia worldwide.Fanatics is first and foremost a technology company. We are powered by cutting-edge tech created by our small agile teams using the latest tools and technologies under our highly analytical, forward thinking, and open-minded leadership. As the global leader in licensed sports merchandise, we challenge ourselves by improving our new fully responsive NodeJS cloud ecommerce platform, product search, personalization and entire ecommerce experience with data and deep data-science capabilities while building the best-in-class retail manufacturing and supply chain technologies. Our tech teams work together to revolutionize data science and engineering initiatives, provide highly scalable real-time and streaming platforms, and create secure e-commerce and in-stadium fan experience products. Our own e-commerce platform transacts in over 190 countries, 17 languages, and 14 currencies.
At Fanatics, we are passionate about leveraging data, ML and AI to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!
Fanatics Inc. is looking for highly motivated individuals to join our Data Science and Engineering team. You will collaborate closely with data-scientists, other ML Engineers, Software engineers, PMs, cross functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.
Job Responsibilities
Play a key developer role and be part of building Big Data and ETL Infrastructure components for difference domains such as experimentations, product recommendations, search and personalizationDeliver high quality data engineering components/services that are robust and scalableCollaborate and communicate effectively with other team members to deliver strong resultsMethodical approach to areas such as Data Modeling, Data QualityGuide others in the team on architecture, design and quality engineering practicesLeverage these foundational Data Infrastructure to integrate machine learning & statistical models into real time services and power the BI & Visualization layersWork closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale
Job Requirements
8+ years experijnce in Design and build solutions for our business partners using Big Data technologiesMust be an expert in building complex, multistage data-pipelines with heterogenous data sources using Spark (Scala), Flink, Hadoop/MR, Hive,Redshift, S3 Data Lake, AWS AthenaGood experience in building and optimizing Bigdata ecosystems such asSpark, Hadoop and distributed systems such as KafkaMust be a solid software engineer with excellent coding skills in one of the modern languages - Python, Go, Java or Scala/SparkDesigning and building data model, integrate data from many sources, buildETL and data-flow pipelines, and support all parts of the data platformMust have expert level SQL programming knowledge and experience.Data Analysis skill – can make arguments with data and proper visualizationEnergetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverablesKnowledge of basic statistical analysis and machine learning desiredBS/MS in Computer Science, Mathematics, Physics or other quantitative field or relevant work experienceTryouts 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. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address. For added security, where possible, apply through our company website at www.fanaticsinc.com/careers NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
Tags: Agile AWS Big Data Computer Science Data analysis Data Mining Distributed Systems E-commerce Elasticsearch Engineering ETL Feature engineering Flink Hadoop Machine Learning Mathematics Model training Node.js Physics Pipelines Python Redshift Scala Security Spark SQL Statistics Streaming
Perks/benefits: Career development Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Databricks-related jobs