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High due to Tier-1 brand, metro Hyderabad, senior but generalist data engineer skills, and broad tool requirements.
Medium because core data engineering skills are transferable but finance domain familiarity may be preferred.
High because JD mandates 10+ years plus specific SQL, ETL, database, cloud and scripting skills.
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Design, develop, and maintain scalable data pipelines and ETL processes ensuring data quality and integrity.
Create and optimize complex data models and SQL queries for analytics and reporting.
Collaborate with cross-functional teams including analysts, business stakeholders, and engineering to meet data requirements.
10+ years of hands-on data engineering experience.
Strong expertise in SQL and data modeling with experience in relational databases such as SQL Server, PostgreSQL, or MySQL.
Practical knowledge of ETL frameworks, data warehousing concepts, and data integration solutions.
Work Experience Required: 10+ years. Notice period: Not explicitly mentioned in the JD.
Experienced in building and optimizing complex data architectures in large-scale environments, preferably with financial services exposure.
Proficient in advanced SQL and data modeling to support analytics and reporting needs.
Familiar with BI tools (Alteryx, Power BI, Tableau) and cloud platforms (Azure, AWS, GCP) to enhance data solutions and automation.