Offshore Sr. Data Engineer
2 weeks ago
In our quest to solve data challenges for our clients, we work with large enterprise, cloud-based 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 data-driven business.
Why Work at Softcrylic?
Softcrylic provides an engaging, team-focused, 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 customer's 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 customer's business questions with the combined platform data (e.g., 360-degree 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, Azure,GCP, etc.
Experience working in multiple projects simultaneously
Nice to have:
Adobe AEP or any CDP experience
RequirementsPython, Pyspark, SQL, AWS or GCP or Azure, ETL, Data Modelling
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