Data Engineer Digital Aptech

About Digital Aptech

Digital Aptech Pvt. Ltd. established in 2013 is a global professional service company with the best developers and IT solution providers who have a strong foothold of seasoned skills, creative ideas, and the ability to deliver services with utmost perfection. DAPL has won multiple recognition to add to our hat like the CMMI Level 3 Accredited, CII Award for customer obsession, INDIA 5000 best MSME Award, etc. We are an ISO 27001: 2013 and ISO 9001: 2015 certified software development company that possesses the top 1% of Indian developers for extraordinary project management and outsourcing project development. Our top-notch software services have gained us with 174+ active world-class clients and 96% Average Customer Satisfaction.  Our technical skills, experience, and innovative strategies would help you accelerate and upgrade your business in the competitive market. Located in India we offer strategy, consulting, development, technology, and operations service to the US, UK, and Australia. Our people deliver the promise of innovation in technology, be it UX/UI development, frontend development, e-Commerce development, web or mobile app development, game development, digital marketing, or staff augmentation. Our organisation is a 360-degree service provider of all IT solutions available 24/7 to embrace our clients to Grow With Us!

Job Description

Data Engineer 

Job Description 
We are looking for world-class talent to join a crack team of engineers, product managers and  designers. We want people who are passionate about creating software that makes a difference to  the world. We like people who are brimming with ideas and who take initiative rather than wait to  be told what to do. We prize team-first mentality, personal responsibility and tenacity to solve hard  problems and meet deadlines. As part of a small and lean team, you will have a very direct impact on  the success of the company.
 
As a data engineer you will: 

• Design, develop and maintain an infrastructure for streaming, processing and storage of  data. Build tools for effective maintenance and monitoring of the data infrastructure. 
• Contribute to key data pipeline architecture decisions and lead the implementation of major  initiatives. 
• Work closely with stakeholders to develop scalable and performant solutions for their data  requirements, including extraction, transformation and loading of data from a range of data  sources. 
• Develop the team’s data capabilities - share knowledge, enforce best practices and  encourage data-driven decisions. 
• Develop data retention policies, backup strategies and ensure that the firm’s data is stored  redundantly and securely. 
Job requirements

- Solid Computer Science fundamentals, excellent problem-solving skills and a strong  understanding of distributed computing principles. 
- At least 3 years of experience in a similar role, with a proven track record of building scalable  and performant data infrastructure. 
- Expert SQL knowledge and deep experience working with relational and NoSQL databases. 
- Advanced knowledge of Apache Kafka and demonstrated proficiency in Hadoop v2, HDFS,  and MapReduce. 
- Experience with stream-processing systems (e.g. Storm, Spark Streaming), big data querying  tools (e.g. Pig, Hive, Spark) and data serialization frameworks (e.g. Protobuf, Thrift, Avro). 
- Bachelor’s or Master’s degree in Computer Science or related field from a top university. 
- Able to work within the GMT+8 time zone 
What we offer 
- An exciting and passionate working environment within a young and fast-growing company 
- The opportunity to work with a high performing team 
- A competitive salary package 
- The ability to work from anywhere in the world (assuming a stable internet connection) 
- The chance of being a fundamental part of the team and make a difference 

What will the process look like? 
- Application: you will submit an online application form, which will take you less than 10 mins to complete 
- Test: you will take a 75 min online test 
- Interview: there will be 2 rounds of interviews