Overview
About The Role
We are looking for a Data Engineer & Analyst with 4-5 years of experience who can build scalable data pipelines (ETL) and derive insights through analytics & visualization. The ideal candidate should be proficient in AWS data services, SQL, and BI tools and be able to bridge the gap between engineering and business analytics. Additionally, a strong understanding of emerging trends in AI and Machine Learning will be beneficial.
Key Responsibilities
Eltropy is on a mission to disrupt the way people access financial services. Eltropy enables financial institutions to digitally engage in a secure and compliant way. Using our world-class digital communications platform, community financial institutions can improve operations, engagement and productivity. CFIs (Community Banks and Credit Unions) use Eltropy to communicate with consumers via Text, Video, Secure Chat, co-browsing, screen sharing and chatbot technology — all integrated in a single platform bolstered by AI, skill-based routing and other contact center capabilities.
Eltropy Values:
We are looking for a Data Engineer & Analyst with 4-5 years of experience who can build scalable data pipelines (ETL) and derive insights through analytics & visualization. The ideal candidate should be proficient in AWS data services, SQL, and BI tools and be able to bridge the gap between engineering and business analytics. Additionally, a strong understanding of emerging trends in AI and Machine Learning will be beneficial.
Key Responsibilities
- Design & maintain ETL pipelines for processing structured/unstructured data using AWS Glue, Redshift, S3, Athena, Lambda, and Kinesis/Kafka.
- Work on data modeling, warehousing, and governance best practices.
- Build efficient SQL queries and optimize database performance in Redshift, RDS, and Snowflake.
- Automate and monitor data workflows using Apache Airflow or Step Functions.
- Perform data analysis & visualization using QuickSight, Tableau, or Power BI.
- Identify trends, patterns, and insights in large datasets to support decision-making.
- Develop and maintain dashboards & reports for business stakeholders.
- Ensure data integrity, security, and quality across multiple sources.
- Develop expertise in AI, Machine Learning, and Advanced Analytics and apply these skills to enhance data solutions and drive innovation.
- 4-5 years of experience in Data Engineering & Data Analytics.
- Strong proficiency in SQL, Python (or PySpark), and ETL frameworks.
- Hands-on experience with AWS data stack (S3, Glue, Redshift, Athena, Lambda, Kinesis).
- Experience in BI tools (QuickSight, Tableau, Power BI) for reporting & visualization.
- Knowledge of data warehousing & modeling best practices.
- Ability to optimize ETL pipelines & database performance.
- Exposure to big data processing (Spark, EMR, etc.) is a plus.
- Understanding of AI/ML concepts and their application in data processing and analytics.
Eltropy is on a mission to disrupt the way people access financial services. Eltropy enables financial institutions to digitally engage in a secure and compliant way. Using our world-class digital communications platform, community financial institutions can improve operations, engagement and productivity. CFIs (Community Banks and Credit Unions) use Eltropy to communicate with consumers via Text, Video, Secure Chat, co-browsing, screen sharing and chatbot technology — all integrated in a single platform bolstered by AI, skill-based routing and other contact center capabilities.
Eltropy Values:
- Customers are our North Star
- No Fear - Tell the truth
- Team of Owners
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