Data Engineer

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 clientsto learn how the worlds 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 clients 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