Data Analytics Engineer
Mumbai, India
Applications have closed
With millions of diners, tens of thousands of restaurants, and 23+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a unique insight into the world of hospitality. We champion restaurants, bars, wineries, and other venues around the world, helping them attract guests, manage capacity, improve operations and maximise revenue.
Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global network that includes OpenTable and KAYAK's portfolio of travel brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined.
Hospitality is all about taking care of others, and it defines our culture. You’ll work in a welcoming and inclusive environment, and get the benefits, flexibility, and support you need to succeed
In this role, you will:
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Prepare and ingest data into financial forecasting models and be responsible for timeliness and accuracy of such data processes.
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Build data pipelines, reporting infrastructures and help develop new FP&A processes and analyses that add value for all stakeholders.
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Implement SQL composition skills that collects and queries data for investigation and analysis in real time from our applications.
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Maintain and design early warning and analytics systems using cutting edge cloud data technologies.
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Collaborate on building software that collects and queries data, while also composing queries for investigation purposes.
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Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability.
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You will work cross-functionally with various teams, creating solutions that deal with large volumes of data.
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Build Data Pipelines to ingest structured and Unstructured Data.
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Gain hands-on experience with new data platforms and programming languages.
Please apply if:
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Bachelor of Computer Science, Engineering
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5+ years' experience with data aggregation, standardisation, linking, quality check mechanisms, and reporting.
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3+ years' experience with big data technologies like Hadoop and Spark.
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3+ years' experience with EPM technologies (Essbase or Anaplan).
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5+ years' experience with RDBMS (Oracle, MS SQL Server) and using SQL or other data integration/ETL tools.
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3+ years' experience with reporting tools (Tableau/looker)
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4+ years of experience in analytics, consulting, or technology
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Strong, hands-on SQL experience, preferably with Oracle or Vertica, but other relational databases are OK
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Experience/exposure in Python or Object-oriented programming
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Takes responsibility for results, “owning” assignments and projects
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A ‘can-do’ attitude and a passion for analytics/data.
Benefits:
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Paid Vacation
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One Celebration Day per calendar year
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Focus on mental health and well-being
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Company-wide weeks off a year - the whole team fully recharges (and returns without a pile-up of work!)
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Generous paid parental leave
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Focus on your career growth
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Work from (almost) anywhere ; wherever you do your best work
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Employee Assistance Program (EAP)
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Pension Fund
Diversity and Inclusion
We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Consulting Data Analytics Data pipelines Engineering ETL Hadoop Looker MS SQL OOP Oracle Pipelines Python RDBMS Spark SQL Tableau Unstructured data
Perks/benefits: Career development Health care Parental leave
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