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Big Data Engineer

Rapidev Pvt Ltd

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Gather and process raw data at scale.
Design and develop data applications using selected tools and frameworks as required and requested.
Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.
Work closely with the engineering team to integrate your work into our production systems.
Process unstructured data into a form suitable for analysis.
Analyze processed data.
Support business decisions with ad hoc analysis as needed.
Monitoring data performance and modifying infrastructure as needed.
Define data retention policies

Big Data Engineer Requirements:

Experience in data engineering even at freelance or fyp level.
Bachelor’s Degree or more in Computer Science or a related field.
A solid track record of data management showing your flawless execution and attention to detail.
Strong knowledge of and experience with statistics.
Programming experience, is must in Python, Spark, Kafka , Hadoop and a willingness to learn new programming languages to meet goals and objectives.
Tableau, Power BI, Qliksense knowledge is a plus
MUST Have done project in big data tools and deployed the clustered with hands on experience.
Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
Experience in MapReduce is a plus.
Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.
A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.