RJC484 | Senior Bigdata Engineer or Data Architect

Department: Data Engineering
Project Location(s): Bangalore, Pune, Chennai
Education: Any Degree
    1. 4+ years of experience designing and developing big data processing systems using distributed computing.
    2. Fluency in Python, Experience in Scala/Java is a huge plus
    3. Expert knowledge in optimizing complex SQL queries An affinity for automation
    4. Experience working with cloud platforms such as AWS ; GCP Familiarity with networking and network application programming, including HTTP/HTTPS, JSON, and REST APIs
    5. Experience with at least one object oriented language (ex: Java)
    6. Strong OO design, data structure, and algorithm design skills
    7. Strong interest in emerging technologies: Spark, Hadoop, Hive, ElasticSearch, NoSQL
    8. Experience with data science / modelling (TensorFlow and/or MXNet)
    9. Familiarity with API development and design.
    10. Amazon Web Services (S3, EMR, Athena, Glue, Kinesis, Lambda)
    11. Google Cloud Platform (GCS, Dataflow, BigQuery)
    12. Python, R, Spark (PySpark)
    13. Airflow,Tableau.
    14. Design, implement and maintain high performance big data infrastructure/systems, big data processing pipelines scaling to billions of structured and unstructured events daily.
    15. Design, implement and maintain deep integration with up-stream systems, Monitor performance of the data platform and optimize as needed
    16. Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)
    17. Support product with the overall roadmap and ensure updates to senior leadership are 100% technically correct.
    18. Data analysis, understanding of business requirements and translation into logical pipelines & processes
    19. Conduct timely and effective research in response to specific requests (e.g. data collection, summarization, analysis, and synthesis of relevant data and information)
    20. Evaluate and prototype new technologies in the area of data processing
    21. Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
    22. High energy level, strong team player and good work ethic
how can we help you?

Contact the Rectras office or submit a business inquiry online.

Ours a data driven company and few concepts are new to Indian job market where recruiters can’t even understand or find resources, i outsourced after couple of discussions. Rectras had a decent closure in data and hope they fulfill our infra positions.

Siddharth
Product Manager - BI, Leading Datascience Firm

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