Offshore Sr Data Engineer

Who We Are

For 20 years we have been working with organizations large and small to help solve business challenges through technology. We bring a unique combination of engineering and strategy to Make Data Work for organizations.

Our clients range from the travel and leisure industry to publishing retail and banking. The common thread between our clients is their commitment to making data work as seen through their investment in those efforts.

In our quest to solve data challenges for our clients we work with large enterprise cloudbased and marketing technology suites. We have a deep understanding of these solutions so we can help our clients make the most of their investment efficiently to have a datadriven business.

Why Work at Softcrylic

Softcrylic provides an engaging teamfocused and rewarding work environment where people are excited about their work and passionate about delivering creative solutions to our clients.

Softcrylic Work Timing: 12.30 pm to 9.30 pm.

Responsibilities

• Analyze customers disparate data sources to design & tailor a data model that unifies the data (e.g. Salesforce analytics data third party data etc.) to meet customers digital marketing use cases.
  
• Work closely with Enterprise Architect & CDP Strategist to enable data ingestion integration and segmentation of customer use cases and business requirements.
  
• Build and Test schema design by loading sample data within the platform & coordinating with Data Engineer consultants for customer data importing.
  
• Build test & schedule customer segments/automated data pipelines to activate use cases
  
• Develop sophisticated SQL to provide answers to customers business questions with the combined platform data (e.g. 360degree view of the customer across data sources)
  
• Create data mapping runbook and segment definition documentation for business and technical stakeholders.
  

Requirements:

• 5 years in data engineering and modeling
  
• Experience working with digital marketing and analytics data from various sources (Google/Adobe Analytics Salesforce Advertising Third party data etc.)
  
• Expert in database schemas including star snowflake and others
  
• Experience in designing and implementing the unification of data from various sources.
  
• Proficiency with data transformation & ETL tools (e.g. Informatica Talend Snaplogic) on large data sets.
  
• Proficiency with complex SQL and NoSQL experience
  
• Experience in programming languages (Python) and PySpark
  
• Experience in pulling data from APIs using Python
  
• Strong verbal & written communication skills to coordinate with Clients and other stakeholders.
  
• Experience working on cloud platforms/services like AWS AzureGCP etc.
  
• Experience working in multiple projects simultaneously
  

Nice to have:

• Adobe AEP or any CDP experience