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Data Engineer-2

Data Engineer-2

Mastercard

4 - 9 years

10 - 14 Lacs

pune

Posted:1 week ago| Platform:

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Skills Required

scala spark python data engineering hadoop stack hive algorithms production sql java apache hadoop big data data analytics airflow predictive analytics microsoft azure impala machine learning data bricks apache nifi agile sqoop aws statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for an innovative software engineering lead who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities (think prediction as a service, matching as a service or forecasting as a service) that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers.Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects.Here are a few examples of products in our space:Portfolio Optimizer (PO) is a solution that leverages Mastercards data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios. Ad Insights uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation.Help found a new, fast-growing engineering team!

Position Responsibilities:

As a Data Engineer within DAAI, you will:Play a large role in the implementation of complex featuresPush the boundaries of analytics and powerful, scalable applicationsBuild and maintain analytics and data models to enable performant and scalable productsEnsure a high-quality code base by writing and reviewing performant, well-tested codeMentor junior engineers and teammates Drive innovative improvements to team development processesPartner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and featuresCollaborate across teams with exceptional peers who are passionate about what they do

Ideal Candidate Qualifications:

4+ years of data engineering experience in an agile production environmentExperience leading the design and implementation of large, complex features in full-stack applicationsAbility to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable itExperience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analysesHigh proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platformsExperience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presentingExperience in cloud technologies like Databricks/AWS/AzureStrong technologist with proven track record of learning new technologies and frameworksCustomer-centric development approachPassion for analytical quantitative problem solvingExperience identifying and implementing technical improvements to development processesCollaboration skills with experience working with people across roles and geographiesMotivation, creativity, self-direction, and desire to thrive on small project teamsSuperior academic record with a degree in Computer Science or related technical fieldStrong written and verbal English communication skills #AI3

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Data Engineer-2