Back
Tier-1 brand plus a popular Data Engineer role with broad requirements yields medium competition.
Senior data engineering focus with governance and pipelines favors candidates with domain-specific data experience, so medium sensitivity.
Explicit 10+ years and mandatory data engineering, SQL, ETL, and modelling skills indicate high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable data pipelines and ETL processes to support analytics and reporting.
Create and optimize complex data models and SQL queries to ensure high data quality, integrity, and governance.
Collaborate with analysts, business stakeholders, and engineering teams to understand requirements and support data architecture design and implementation.
10+ years of hands-on data engineering experience.
Strong expertise in SQL, data modeling, and experience with relational databases like SQL Server, PostgreSQL, or MySQL.
Experience with ETL frameworks and understanding of data warehousing concepts.
Work Experience Required: 10+ years of data engineering experience.
Experienced in building scalable data solutions and advanced SQL development within complex environments.
Skilled in collaborating cross-functionally with analysts, business stakeholders, and engineering teams to translate requirements into technical implementations.
Familiarity with BI tools (e.g., Alteryx, Power BI, Tableau) and cloud platforms (Azure, AWS, GCP) is advantageous but not mandatory.