Data Engineer- Bangalore (5+ Years of Experience)

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Data Engineer- Bangalore (5+ Years of Experience)

A Client of Analytics Vidhya

Bengaluru INR 5 - 15 LPA Experience : 5 YRS. Openings: 2

Details:


The BI Engineer will play a key role in contributing to the success of each focus area, by partnering with respective business owners and leveraging data to identify areas of improvement & optimization. He / She will build deliverable like business process automation, payment behavior analysis, campaign analysis, fingertip metrics, failure prediction etc. that provide edge to business decision making AND can scale with growth. The role sits in the sweet spot between technology and business worlds AND provides opportunity for growth, high business impact and working with seasoned business leaders.

An ideal candidate will be someone with sound technical background in data domain – storage / processing / analytics, has solid business acumen and a strong automation / solution oriented thought process. Will be a self-starter who can start with a business problem and work backwards to conceive & devise best possible solution. Is a great communicator and at ease on partnering with business owners and other internal / external teams. Can explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. Is constantly obsessed with customer delight & business impact / end result and ‘gets it done’ in business time.

BASIC QUALIFICATIONS

· Bachelor’s degree in Computer Science or a related technical field from an accredited institution, and 5+ years of relevant employment experience.

· 5+ years of developing end-to-end Business Intelligence solutions: data modeling, ETL and reporting.

· Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.

· Strong verbal and written communication skills, including an ability to effectively lead and influence interactions with both business and technical teams.

· Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets.

PREFERRED QUALIFICATIONS

· Ability to take loosely defined business questions and translate them into clearly defined technical/data specifications for implementation.

- Ability to deal with ambiguity and work with rapidly changing business data

Min. Qualification:

ug

Skills Required:

business intelligence, data modeling, etl, sql

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