Data Engineer - Remote Eligible

Escalent Data Analytics And Advisory Firm

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world's leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people.

Why Escalent? Once you join our team you will have the opportunity to...

• Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more.
• Gain exposure to a rich variety of research techniques from knowledgeable professionals.
• Enjoy a remote first/hybrid work environment with a flexible schedule.
• Obtain insights into the needs and challenges of your clients—to learn how the world's leading brands use research.
• Experience peace of mind working for a company with a commitment to conducting research ethically.
• Build lasting relationships with fun colleagues in a culture that values each person.

Position Specifications:

Should have 6+ years or more of experience in the Data engineering and integration domain and should be able to lead projects end to end, including:

• Capability to communicate with the client stakeholders clearly and understand client requirement/project scope
• Ability to think of solution architecture independently
• Proven experience in handling multi-dimensional consumer data from different data source systems, create relational data models within data warehouses, data marts based on end-user requirements with a motive of data-as-a-service
• Prior experience in working with Snowflake, ADF, Airflow, Databricks, Azure Analytics services/ equivalent, etc.
• Minimum 5 years of hands-on work experience with SQL, Python for database modeling and data transformations
• Prior experience in executing ETL/ ELT and Data integration projects with-in modern data architecture with big-data Cloud tools
• Prior experience in developing the solution with-in DevOps and CICD development setup
• The requirement is to work within our and client's environment to set up a Unified Consumer View from multiple data sources using data ingestion, integration and database modeling techniques
• Please note that one of our project managers will help the person in understanding the client data and communicate with the client