Data Engineer Job in Mindpool Technologies Limited
Data Engineer
Mindpool Technologies Limited
4+ weeks ago
- Hyderabad, Telangana
- Not Disclosed
- Full-time
- Permanent
Job Summary
Candidate with 5 8 Years of experience would be better suitable.
Qualification & Experience:
CS fundamentals: You have earned at least a B.S. / MS in Computer Science, or related degree AND you have a strong ethos of continuous learning.
Software engineering & Architecture: at least 6+ years of professional software development experience with languages and systems such as Python/Java, REST API, PySpark, Apache Beam and version control (git), with good analytical & debugging skills.
Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, AWS, Hadoop Eco System, HDFS, Spark. You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.
Data Science/ML Ops: Experience in operationalization of Data Science projects (ML Ops) using at least one of the popular frameworks available.
Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques.
Real Time Systems: Understands evolution of databases for in-memory, NoSQL & indexing technologies along with experience on real-time & stream processing systems like Google pub/sub, GCP technologies, Kafka, AWS/Azure streaming technologies, Storm, Spark Streaming.
Strong design skills: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration.
Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.
Excellent verbal and written communication skills: Must be able to effectively communicate & work with fellow team members and other functional team members to coordinate & meet deliverables.
This is a remote position.
Description:Candidate with 5 8 Years of experience would be better suitable.
Qualification & Experience:
CS fundamentals: You have earned at least a B.S. / MS in Computer Science, or related degree AND you have a strong ethos of continuous learning.
Software engineering & Architecture: at least 6+ years of professional software development experience with languages and systems such as Python/Java, REST API, PySpark, Apache Beam and version control (git), with good analytical & debugging skills.
Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, AWS, Hadoop Eco System, HDFS, Spark. You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.
Data Science/ML Ops: Experience in operationalization of Data Science projects (ML Ops) using at least one of the popular frameworks available.
Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques.
Real Time Systems: Understands evolution of databases for in-memory, NoSQL & indexing technologies along with experience on real-time & stream processing systems like Google pub/sub, GCP technologies, Kafka, AWS/Azure streaming technologies, Storm, Spark Streaming.
Strong design skills: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration.
Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.
Excellent verbal and written communication skills: Must be able to effectively communicate & work with fellow team members and other functional team members to coordinate & meet deliverables.
Experience Required :
Fresher
Vacancy :
2 - 4 Hires
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