5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data
Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, SparkSQL, Scala)
Experience working with relational database such as Teradata and handling both structured and unstructured datasets
Data Modeling tools (Any of - Erwin, Power Designer, ER Studio)
Preferred / Ideal to have –
Proficiency in Python
Experience with NoSQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases)
Experience with Snowflake and Databricks
Good to have –
Proficiency in tools such as Tableau or Power BI
Understanding of financial industry metrics and business processes
AWS Cloud Practitioner or Developer certifications
Experience –
Bachelor’s or Master’s degree (or equivalent work experience) in Data Science, Statistics, Computer Science, or Mathematics
Experience with one or more scripting languages (e.g., Python, KornShell)

Data Engineer

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