Big Data Engineer

2 - 5 years

2 - 5 Lacs

Posted:19 hours ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for people who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning.Built products in the data analytics space, either frontend/backend/cloud. A passion for shipping high-quality products, interest in the data products space, curiosity about the bigger picture of building a company, product development, people, and product

Roles and Responsibilities

  • We are looking for a savvy Data Engineering professional to join the newly formed Data Engineering team
  • We are looking for Big Data specialists who have proven skills on working large scale data systems
  • The hire will be responsible for building and optimizing data pipeline architectures, as well as optimizing data flow and collection for multiple source systems
  • The ideal candidate should be experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up
  • Have got strong ability to build robust and resilient data pipelines which are fault tolerant and reliable in terms of data movement
  • Should have knowledge of experience on batch and stream data processing
  • Create end to end data products and productionize them in cloud/in-house servers

Technical Skills

  • Minimum 2-4 years of progressive experience building solutions in Big Data environments
  • Should have solid hands on experience on Big Data technologies like Hadoop, HBase, Hive, Pig, Oozie, MapReduce, Yarn, HDFS, Zookeeper
  • Hands on knowledge of Apache Spark with Java/Scala for batch and stream processing will be highly preferred
  • Knowledge of Apache Kafka will be added advantage but not mandatory
  • Strong hands on capabilities on SQL and NoSQL technologies
  • Should be able to build performant, fault tolerant, scalable solutions
  • Excellent written and verbal communication skills

What is in it for you

  • A clear career path with a hybrid of technical track and management track to grow in the company
  • In the technical track, the candidate will be developing sophisticated actuarial and analytics skill
  • Communicating with clients and manage the track, the candidate will develop skills sets in business strategy and build strong tech products

You should have

  • Excellent problem solving and analytical skills
  • Fluency in written and communication skills in English
  • Good time-management skills
  • Should be a quick learner with ability to learn new tools/technology quickly
  • Good analytical and problem-solving skills
  • Intellectual and analytical curiosity
  • Expertise in data analytics and providing data driven insights that help in taking business decisions
  • The traits of a self-motivated, independent and detail-oriented team player

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Coditas Technologies

Information Technology and Services

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