Data Engineer II ( Oracle PL/SQL)

Mastercard

4 - 7 years

9 - 14 Lacs

pune

Posted:1 week ago| Platform:

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Skills Required

data engineer s3 python oracle data analysis data pipelines data warehousing database administration javascript sql tableau query optimization redshift data modeling jenkins digital payments php splunk aws etl architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Summary

Designing, implementing, and maintaining the tooling and infrastructure that enables our Analysts and Data Scientists to work efficiently and effectively
Participating in the entire solution development cycle from requirement gathering to solution deployment
Working with multiple stakeholders across teams to fulfill ad-hoc investigations, including large-scale data extraction, transformation, and analyses
Supporting production code to produce comprehensive and accurate data artifacts
Promoting strategies to improve our data modeling, quality, and architecture

All About You:

Highly skilled in SQL knowledge and relational databases
Experienced with developing and maintaining data pipelines for the extraction, transformation, and/or loading of large-scale data
Experienced with working with large data sets
Youve implemented parallel processing and have dealt with the limitations and challenges of working with terabytes of data
Strong analytics skills related to working with unstructured datasets
Experienced with performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Experienced with database administration and query optimization with different databases
Experienced with at least one of the programming languages like PythonCapable of effectively communicating requirements and solutions to audiences with different skill sets
Familiarity with the core requirements of data analysis and/or presentation
Focused, innovative, and self-sufficient problem solver who is willing to independently and creatively deep-dive into an issue, cut to the heart of a problem, and solve it

Bonus Points if:

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