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Tier-1 brand, generalist data engineer role, and metro locations increase applicant competition.
Core data engineering skills are transferable, though banking domain may prefer financial domain experience.
Explicit 8-10 years plus mandatory Spark, Python, Databricks and data architecture experience enforces strict filters.
Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and delivery from diverse sources.
Contribute to building scalable data architectures including data lakes, warehouses, and lakehouse patterns.
Ensure data quality through implementation of validation frameworks, monitoring solutions, and optimize data solutions using cloud platforms like Spark, Kafka, Databricks.
8-10 years of experience in Data Engineering.
Proficiency in Python and strong SQL skills.
Hands-on experience with Apache Spark, Hadoop, or equivalent distributed computing frameworks.
Bachelor’s degree or equivalent experience.
Experienced in building and optimizing large-scale, cloud-based data pipelines and architectures.
Technical hands-on expertise with distributed computing frameworks and cloud services for data processing.
Able to handle complex data quality and performance optimization challenges in data engineering environments.