Big Data Engineer
Quaero
Bengaluru, Karnataka, India
1d ago

Quaero : Mission Control for Customer Data

Quaero accelerates data driven teams as they transform disconnected customer data into energized assets.

Marketers and Data-As-A-Product teams use our platform to source and activate information from across their enterprise, turning their unique customer knowledge into bottom line outcomes.

We release their data scientists, analysts, and engineers from time consuming data cleansing chores, enabling them to focus on delivering powerful segmentations, predictive models, and concrete additions to the company's data balance sheet.

Quaero's customer data platform condenses the time, cost, and risk of building strategic assets while keeping fast moving teams compliant and in firm control of their proprietary data resources.

At Quaero, we consider ourselves business minded adventures. We are collaborative, empowered and accountable. We are driven by intellectual curiosity and the desire to deliver a best in class result.

Position Summary :

The implementation engineer is responsible for on-boarding and supporting our CDP across customers. This position requires strong data engineering and development skills

Integrate large datasets from multi-channel client data (e.g. web, ad delivery, email, app, ecommerce) into the database and make the data available for analytics and reporting.

The CDP, once implemented, drives data driven marketing and personalization at scale for our customers

Work with advanced data management frameworks and utilities built on big data and open source technologies including Hadoop, Spark, Scala, Redshift.

In addition, deploy and support the platform on AWS, GCS, Azure and hosted infrastructure

Ability to learn new database and cloud technologies quickly, analytical thinking, delivering quality results, excellent communication and ability to work in an Agile environment are fundamental to this role

Responsibilities :

  • Leverage Quaero's CDP to build operational marketing databases for customers across a range of verticals, with focus in retail, financial services and health care
  • Develop custom extensions to the standard data model where needed, to accommodate customer specific data sources that are not represented within the standard data model, to support analytics, reporting and marketing activation use cases
  • Productize custom-developed artifacts into the CDP standard data model, where applicable
  • Create and maintain database artifacts, technical documents (functional specs, design document, data model) for all custom development
  • Design and implement test procedures to ensure data quality
  • Participate in cross-functional team design and delivery processes with account mgmt., product mgmt., product development and project mgmt.
  • Provide feedback and ideas on improvements to the CDP feature set and usability- with the aim of continuously improving the implementation process and results.
  • Experience :

  • 4+ years of database development and support experience in big data technologies (Hadoop / Spark / EMR etc.)
  • Hands on work in end-to-end database solution implementations
  • Experience in performance tuning and optimization in Spark, Tez etc. is a must
  • Experience in Cloud platforms (Azure, AWS etc.) is a plus
  • Expertise in any one scripting language (Python, Scala etc.) is a must
  • Experience in Martech stack and Digital data (Adobe Analytics, GA etc.) is a plus.
  • Education :

  • Bachelor's degree in technology (Computer Science, Information Science)
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