Back
Tier-1 brand, metro Bangalore, generalist data title and broad skillset drive high candidate competition.
Core data engineering and analytics skills are transferable, but banking domain and Qlik/warehouse specifics raise fit sensitivity.
Specific mandatory tech stack (SQL, Python, dbt, Snowflake/BigQuery, Qlik) and analytics engineering expectations create medium strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and deliver scalable data pipelines, datasets, and decision-ready insights using SQL, Python, dbt, Snowflake, and BigQuery.
Partner with stakeholders to clarify business problems, frame hypotheses, and translate analytics into actionable recommendations prioritizing simplest effective solutions.
Develop and maintain dashboards and semantic layers for reliable, self-service analytics while ensuring data quality, efficiency, and automation.
Expertise in SQL and Python (including Pandas) for data wrangling and analysis.
Strong hands-on experience with Snowflake and/or BigQuery, dbt, and Qlik (or equivalent BI tools).
Demonstrated skills in data engineering, analytics engineering, and statistical modeling or data science principles.
Work Experience Required: Not explicitly mentioned in the JD.
Operates with a consulting mindset, emphasizing business problem clarity, trade-off communication, and pragmatic solutions over technical complexity.
Experienced in analytics engineering bridging data pipelines and analytics with strong documentation and stakeholder alignment.
Skilled at balancing speed, risk, and maintainability while delivering incremental value and enabling self-service analytics.