Required Skills

Solution architecture Data management Data modeling RDBMS Business analysis PLSQL Workflow Data quality Stored procedures Automotive

Work Authorization

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 20th Jul 2022


What you will do:

  • Partner with the Data Science Engineering lead and cross-functional teams to identify strategic solution architecture specifically relating to data pipelines and applications, AI/ML platforms, and general analytical tools
  • Execute architected techniques and solutions for data collection, ingestion, management, aggregation, and usage
  • Take business requirements and produce data sets for efficient cross-business analysis focusing on data stewardship and feature engineering
  • Extreme focus on detail and data quality validation, employing various anomaly detection techniques and good old common sense
  • Deep interest in the data and analytics market with the ability to creatively solve data integration and delivery problems
  • Design, deploy and integrate process-specific data models feeding a wide range of reporting/insights/activation data sets
  • Use tools and applications like Alteryx, Tableau, Snowflake, and Matillion (among others) to create innovative data solutions for media/marketing teams to support the experimental design and optimization processes
  • Provide thought leadership around newer technology when it comes to finding the right solution for our clients


  • Minimum 4-6 years of recent, progressive experience and demonstrable technical expertise in enterprise-class data analytics solutions and services. Including advanced skills in areas such as Data Modeling, Integration, Storage, Indexing, Security, Logging, Data Quality, Master Data Management, and Archiving.
  • Minimum 2 years of recent experience in enterprise-class data analytics architecture, including enterprise and solution architecture assessment/definition, and significant depth in two or more data analytics solution architecture components (i.e., data management, data integration, information delivery, and/or advanced analytics)
  • Experience designing logical and physical data models utilizing ERDs, data pipelines, and workflow documentation
  • Proficiency in all aspects of SQL (complex joins and aggregations, stored procedures, functions, triggers).
  • Experience with architecture and applications on or incorporating cloud infrastructure-, platform-, and/or software as a service (particularly data analytic solutions on Amazon AWS, Microsoft Azure, or other cloud platforms and service providers)
  • Experience with Alteryx (Designer/Server) or similar, and cloud-based storage / databases / data-warehouses (Redshift, Snowflake, etc.)
  • Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
  • Strong Quantitative Reasoning and Pattern Recognition ability
  • Common sense business approach (ability to balance real world with the theoretical)

Company Information