Sr Data Engineer
Core
Design, build, and maintain scalable ETL pipelines and modern data platforms to support real-time and batch processing for financial forecasting, risk analytics, and customer insights.
Role type
Senior hands-on IC data engineer
Builds
Production data pipelines, data models, and data infrastructure
Domain
Financial services / Data engineering
Deliverable
production ML models
Required skills
Python, SQL, Apache Spark, Databricks, Snowflake, Redshift, BigQuery, Airflow, dbt, data orchestration, data warehousing, data governance, data security, privacy compliance, structured/semi-structured data processing, cloud platforms (AWS/Azure)
Preferred skills
Enterprise process improvement, stakeholder persuasion, emerging technology evaluation, POC leadership, data democratization, Salesforce/Netsuite/Anaplan modeling
Technologies
Python, SQL, Apache Spark, Databricks, Snowflake, Redshift, BigQuery, Airflow, dbt, Delta, JSON, Parquet, Avro, AWS, Azure
Responsibilities
Design and implement ETL pipelines for diverse data sources; write complex SQL queries for analytics; develop tools leveraging AI/ML for data cleansing and transformation; evaluate and recommend data infrastructure tools; architect and scale the data platform for real-time and batch processing; enforce data governance, quality, lineage, and compliance; partner with stakeholders to translate business requirements into data models; champion security and automation in data workflows.
Seniority
Senior, hands-on IC
