We are HIRING - Data Engineer, % Purely Homebased!
Do you want to be a part of a rapidly growing tech start-up specializing in data engineering, blockchain, NFTs, AI, machine learning, augmented and virtual reality, the Internet of Things, and Edge Computing?
If you're a Data Engineer with the initiative to solve challenging problems and make quick and reliable decisions, this job is for YOU. Join a high-performing team passionate about helping build and scale new tech to make a difference in the world.
As a Data Engineer, this is what you will do:
You will design, develop, and maintain an infrastructure for streaming, processing, and storage of data.
You will build tools for effective maintenance and monitoring of the data infrastructure.
You will contribute to key data pipeline architecture decisions and lead the implementation of major initiatives.
You will 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.
You will develop data retention policies, and backup strategies and ensure that the firm's data is stored redundantly and securely.
What do you need to have for the role?
At least 3 years of Professional Experience in Data Engineering or a similar role.
Expertise in SQL and deep experience working with relational and NoSQL databases.
Advanced knowledge of Apache Kafka and demonstrated proficiency in Hadoop v2, HDFS, and MapReduce.
Has 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).
Working Hours:
GMT+8 Time Zone
We encourage you to apply regardless of meeting all qualifications and/or requirements! Apply now and get a chance to receive a signing bonus amounting to 60K!
Our apply button is waiting for YOU
Dev Partners
Do you want to be a part of a rapidly growing tech start-up specializing in data engineering, blockchain, NFTs, AI, machine learning, augmented and virtual reality, the Internet of Things, and Edge Computing?
If you're a Data Engineer with the initiative to solve challenging problems and make quick and reliable decisions, this job is for YOU. Join a high-performing team passionate about helping build and scale new tech to make a difference in the world.
As a Data Engineer, this is what you will do:
You will design, develop, and maintain an infrastructure for streaming, processing, and storage of data.
You will build tools for effective maintenance and monitoring of the data infrastructure.
You will contribute to key data pipeline architecture decisions and lead the implementation of major initiatives.
You will 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.
You will develop data retention policies, and backup strategies and ensure that the firm's data is stored redundantly and securely.
What do you need to have for the role?
At least 3 years of Professional Experience in Data Engineering or a similar role.
Expertise in SQL and deep experience working with relational and NoSQL databases.
Advanced knowledge of Apache Kafka and demonstrated proficiency in Hadoop v2, HDFS, and MapReduce.
Has 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).
Working Hours:
GMT+8 Time Zone
We encourage you to apply regardless of meeting all qualifications and/or requirements! Apply now and get a chance to receive a signing bonus amounting to 60K!
Our apply button is waiting for YOU
Dev Partners
Other Info
Philippines
Permanent
Full-time
Permanent
Full-time
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Dev Partners
About the company
Dev Partners jobs
Iñigo St, Poblacion District, Davao City, Davao del Sur, Philippines
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About the company
Dev Partners jobs
Iñigo St, Poblacion District, Davao City, Davao del Sur, Philippines