Data Engineer-III_#7760
India, Hyderabad
Fanatics Inc
Fanatics offers the broadest assortment of fan merchandise and memorabilia worldwide.Title :Data Engineer -IIIJob location :Hyderabad(Currently remote work)Experience :5-6yrs
Resumes can be shared to bpinnam@fanatics.comKey skills: Programming language(JAVA, Python , SCALA)-Coding on Problem solving , DS AND ALGO , Databases, Bigdata tech stack(Hadoop , spark , scala , Hive), ETL , AWS, Design hands on (HLD , LLD)
Duties and Responsibilities• Create and maintain optimal data pipeline architecture,• Assemble large, complex data sets that meet functional / non-functional business requirements.• Supporting Machine Learning initiatives by helping to extract, transform, and serve data for model training and production.• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.• Work with data and analytics experts to strive for greater functionality in our data systems. Education and Experience Requirements Qualifications:• Education: Bachelors or Masters in Computer Science or related field preferred.• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.• Strong analytic skills related to working with unstructured datasets.• Build processes supporting data transformation, data structures, metadata, dependency and workload management.• A successful history of manipulating, processing and extracting value from large disconnected datasets.• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.• Strong project management and organizational skills.• Experience supporting and working with cross-functional teams in a dynamic environment.• Experience with big data tools: Hadoop, Spark, Kafka, etc.• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.• Experience with stream-processing systems: Storm, Spark-Streaming, etc.• Experience with object-oriented/object function scripting languages: Python, Golang, Java, C++, Scala, etc.• Experience with Machine Learning workflows including developing and maintaining infrastructure for training and deploying models. 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. 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 Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices. 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 Airflow AWS Azkaban Big Data Cassandra Computer Science Data pipelines E-commerce Elasticsearch Engineering ETL Golang Hadoop Kafka Machine Learning Model training Node.js NoSQL Pipelines PostgreSQL Python RDBMS Scala Security Spark SQL Streaming
Perks/benefits: Team events
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