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Job Location: Mumbai, New Delhi
As a Data Engineer you will support our MEL(Monitoring and Evaluation) team,
Implementation team, Funder Engagement team, software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. If you are the right candidate then you would be excited by the prospect of optimising or even re-designing our company s data architecture to support our next generation of
products and data initiatives.
Roles Responsibilities
Analyse and organise raw data.
Build and maintain optimal data pipeline architecture and data systems.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics.
Conduct complex data analysis and report on results.
Prepare data for prescriptive and predictive modelling and build algorithms and prototypes.
Combine raw information from different sources and explore ways to enhance data quality and reliability.
Identify opportunities for data acquisition and develop analytical tools and programs.
Collaborate with functional teams and engineering teams on several projects and work with stakeholders
including the Executive, Product, Data and Design teams to assist with data-related technical issues and
support their data infrastructure needs.
Qualifications, Skills Experience
Technical expertise with data models, data mining, data structuring and segmentation techniques.
Proven Knowledge of SQL, DAX, Python, R, Advanced Excel and similar scripting and query languages.
Experience in ETL development.
Experience with AWS cloud services: EC2, RDS, Redshift and any other data cloud services.
Experience with Business Intelligence tools like Data Studio, Power BI, Tableau, Zoho Analytics.
Experience in Data Cleaning, Creating Data Pipelines, Data Modelling, Storytelling, Dashboarding.
Experience in using data connector APIs.
Great numerical and analytical skills.
Previous experience as a data engineer or in a similar role.
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