Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Global brand, metro Hyderabad, and common mid-level data engineer title drive high candidate competition.
Core data engineering skills are transferable across industries, reducing background sensitivity.
Explicit 7+ years and multiple mandatory technologies (ADF, Snowflake, Databricks) make filtering strict.
Design, develop, and maintain complex data pipelines using ADF, Talend, and SQL with a focus on data transformation, orchestration, and quality.
Lead architecture and design decisions for scalable data platforms involving Snowflake, Azure, and Databricks technologies.
Collaborate with product teams, architectures, and business partners to deliver data engineering solutions supporting $50B+ annual revenue and Agile delivery practices.
Bachelor’s Degree or equivalent technical training/experience in relevant domain.
7+ years of strong data engineering experience including leading medium to large scale projects end-to-end.
Hands-on expertise with ADF, Talend, Snowflake, SQL, Databricks, and Python mandatory.
Experience working in Agile (Scrum/Kanban/SAFe) environments mandatory.
Experienced in owning full lifecycle data engineering projects with strong coding standards, performance tuning, and documentation focus.
Expertise in data warehousing, data modeling, data quality processes, and automation within cloud ecosystems (especially Azure).
Comfortable working collaboratively in global, fast-paced teams integrating technical and business needs while driving innovation and efficiency.