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Lead Data Engineer

Salary undisclosed

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Overall 12+ yrs

Primary Skills:

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

Secondary Skills:

Java

Specialization:

Big Data Engineering: Associate BI Engineer

Job requirements:

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.

Preferred skills and qualifications

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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