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Data Engineer at CognitiveScale
Hyderabad, IN
Job Summary
Seeking Python Data Engineers who will be working closely with data scientists and developers to architect all data transformations by analysing, developing, maintaining and testing data infrastructures.

Job Responsibilities
  • Analyze third party and client data to understand its overlap with different data sources and how best to integrate it
  • Working with large data sets: experience developing programs to create, parse, process, analyze complex datasets used throughout our organization
  • Consolidate/join datasets to create easily consumable, consistent, holistic information and create visualizations for the same
  • Create and define performance metrics. Ideate, innovate and hack through the existing systems to improve performance

Job Specifications
  • Education/ Qualification: With solid foundation in Computer Science and strong competencies in data structure, algorithms and software architecture
  • Experience: 3 to 5 years

Required Skills
  • Minimum 3 years of programming experience with python in similar/relevant data engineering role
  • Experience working with quant libraries like pandas, numpy, scipy and comfortable with ETL processes
  • Experience with creation, orchestration and monitoring of job pipelining with either one of frameworks like luigi, airflow, pinball etc.
  • Familiarity with Restful API's is a plus
  • Working knowledge of relational databases such as MS SQL, Postgres, No SQL databases like Mongo, Cassandra is desirable
  • Experience with source code-controlled environments like GIT
  • Ability to communicate complex technical topics in a clear and concise way
  • Demonstrated experience working with diverse data sets across multiple domains
  • Good understanding of Hadoop, Hive & HBase
  • Experience of data processing architectures (Streaming/Batch) is highly preferable

Soft Skills
  • Excellent and proven communication, presentation, facilitation and organizational skills
  • Proven ability to work well with multi-disciplinary teams
  • Critical thinking and problem-solving skills are crucial