Job Location: Hyderabad/Secunderabad
Unify Technologies
Company Nature of work: IT-Software Product Development and Product Engineering Services
Founded Year: 2015
Company: Locations: USA, Hyderabad, Bangalore, Pune, Chandigarh, Gurgaon
Num of total Employees: 1,500+
Company Website: http://unifytech.com/
Company LinkedIn Website Address: https://www.linkedin.com/company/9206998
Few words about Unify Technologies: Unify is a Digital Product Development and Product Engineering services company. We have extensive experience in software product engineering and a successful track record of delivering on aggressive delivery plans without compromising on the quality in Data, Cloud, Mobile, Cyber Security, E-Learning, E-commerce, and Healthcare platforms.
If you are looking for a challenging opportunity to put your Computer Science skills at the right place. We need some hard-core programming help to enhance our Data management frameworks used to move data between platforms and systems seamlessly.
Employment Type: Full-Time
Role: Software Development Engineer
Position: Developer, Senior Developer, and Lead Developer
Project: Product-Maps and Advertising Platforms
Experience: 2-4 Years – SDE; 4-8 Years – Sr SDE; 8-10 Years – Lead SDE;
Key Skills: Spark Core/Streaming with Any programming language Scala/ Java/ Python, Good Understanding of Data Transformation, Data Ingestion, Optimization mechanism, Good understanding of Big Data (Hadoop, MapReduce, Kafka, Cassandra) Technologies
Joining time: Immediate to 30 days
Job Location: Hyderabad – India (WFH till COVID unlock)
Education: Masters/Bachelors degree in Computer Science, Statistics, Engineering or a related technical discipline will be preferred
Detailed Job Description:
Key Qualifications:
- Minimum 2+ years of working experience in Big Data platforms and/or highly scalable distributed computing.
- Experience with Spark Core/Spark Streaming (at least 2 years) – Must
- Should have broad knowledge in Spark – Spark Advantages, Spark Workflow, How to write
- Spark Jobs
- Solid in the Functional programming language (Scala/ Java8 – 1st Preference OR Python – 2nd Preference) and capable of learning new languages quickly.
- Good Understanding of Data Transformation, Data Ingestion, Optimization Techniques
- Experience working on cutting-edge Big Data storage systems and technologies like Hadoop, AWS S3, Apache Spark, Storm/Heron, Cassandra, Apache Kafka, etc.
- Experience building large-scale distributed systems with high availability
- Combined experience with at least one of Kafka/Solr/ElasticSearch/Cassandra
- Strong investigative and problem-solving skills
Roles & Responsibilities:
- We’re looking for Big Data engineers who have previously worked on delivering scalable backend distributed systems, big data platforms, and data pipeline and streaming systems.
- Develop data processing pipelines, data storage, and management architecture.
- We deal with huge amounts of data at a massive scale, so we are looking for engineers who love solving challenging problems through conducting independent research and collaborating with teams across Apple to help improve the overall mapping experience.
- You’ll be working on a unique and challenging big data ecosystem with focuses on storage efficiency, data security, and privacy, scalable and performant queries, expandability and flexibility, etc, and with the goal to help better measure the quality of map data.
- You will work with engineers to build a big data platform that processes and manages Exabytes of data and enables efficient access to those data.
- The ideal candidate will be a highly motivated and proactive individual with good width and depth of related technical knowledge.
- You are expected to be goal-oriented and self-driven to deliver quality solutions in a demanding environment.
Interview Process:
Interview Rounds: 3 to 4
Nature of Interview: Technical, Programming, Coding Interview
Mode of Interview: Google Meet/Webex Video call (Must enable the video in the interview)
Contact Person: varalakshmi@unifytech.com
NOTE: We are also looking for Scala Functional programming Developers and Hadoop Administrators.
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