Senior Data Science Engineer

dunnhumby

  • Gurgaon, Haryana
  • Permanent
  • Full-time
  • 1 month ago
We are looking for a talented engineer to develop and maintain tools/products aimed at making the data science development work easier. The right candidate will be passionate about learnings, delivering high-quality codes and cutting-edge technologies in Bigdata landscape. The candidate will have evangelical mindset to identify, practice and promote better working methods in the fields of distributed computing to be used in data science engineering.What we expect from you
  • Develop and maintain engineering tools/products needed for simple and efficient data science development
  • Analyse complex data pipelines to identify performance bottlenecks, and suggest robust ways to optimize the workload in reasonable costs
  • Work with the infra team to ensure robust, performant and scalable platform is available for data science development work
  • Proficiency in Hadoop, PySpark, Pandas, NumPy and python version > 3.5
  • Good Working experience of Partitions, Joins, cache, HDFS, handling data
skewness and code optimisation in general * Working knowledge of Kubernetes, Docker
  • Experience in developing web applications using modern frontend and backend technologies, e.g Node Js, React, Dash, Django, Voila, Streamlit
  • Good knowledge of Airflow or any other data process orchestration tools like Nifi , Lungi
  • Good knowledge of SQL
  • Proficiency in shell scripting and has working knowledge of devops/dataops
  • Proficiency in web application development and application integration (REST APIs, Web services)
  • Experience in re-engineering, automating and productionising code
  • Should have experience in handling/optimising various file formats like parquet, Avro etc
  • Should have good experience in working with Hadoop Ecosystem components (e.g. YARN, Spark UI, Hive, HDFS etc.) and cloud equivalents possibly in GCP

dunnhumby

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