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Lead Data Engineer
2 weeks ago
Job Title Lead Data Engineer
Education Bachelor's degree in engineering (CS, IT, EXTC or equivalent)
Experience: 6-8 years
In depth understanding of spark framework and experience working
with Spark SQL and Pyspark.
Expert in Python programming language and common python libraries
Strong analytical experience with database in writing complex queries,
query optimization, debugging, user defined functions, views, indexes
etc.
Good Problem-Solving skills
Design, implement and maintain efficient data models and pipelines.
Experience working with Big-Data technologies.
Experience working with any ETL tool is good to have.
Responsibilities
Work on project to deliver/review/design pyspark, spark SQL based
data engineering analytics solution.
Write clean, efficient, reusable, testable, and scalable logic in python to
create analytical solution.
Build solutions focusing on data cleaning, data scrapping, EDA such
that data can be utilized by any BI tool.
Co-ordinate with Data Analysts/BI developers to provide clean and
processed data.
Design data processing pipelines using ETL.
Developing and delivering complex requirements to accomplish
business goals.
Work on unstructured, structured and semi-structured data and
respective databases.
Coordinate with internal engineering and development teams to
understand requirements and develop solutions.
Communicate with stakeholders to understand business logic and
providing best data engineering solution and presenting the same.
Ensure best coding practices and standards are followed.
