Lead Data Engineer - R01539793

Lead Data Engineer

• ETL Fundamentals, HDFS, Hive, MapReduce, Modern Data Platform Fundamentals, Oozie, PLSQL, Python, Spark - Pyspark, Spark - Scala, SQL

• Java

• Big Data Engineering: Associate BI Engineer

• Previous experience as a data engineer or in a similar role Strong and hands-on Knowledge of programming languages  (e.g. Java and Python).
• Experience with popular Python frameworks such as Django, Flask or Pyramid.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
• Experience with popular Python frameworks pysaprk,databricks,flink nosql db could be added advantages.

• Technical expertise with data models, data mining, and segmentation techniques.
• Hands-on experience with SQL database design Great numerical and analytical skills Data engineering certification.
• Familiarity with database technologies such as SQL and NoSQL.
• Excellent problem-solving ability with solid communication and collaboration skills.
• Knowledge of data science and machine learning concepts and tools.
• A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
• Contributions to open-source Python projects or active involvement in the Python community.
• #LI-PA1
• Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.