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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building production software and data systems, with a strong focus on cloud-native technologies and data engineering. Proficient in architecting real-time data streams and performing enterprise-scale data movement and transformation.
Highest-signal resume keywords
Python ProgrammingAWS Cloud ServicesData Migration ActivitiesRelational DatabasesCloud Data Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Application DevelopmentSQL QueriesData MovementData TransformationData ModelingPerformance OptimizationEvent-Driven ArchitectureData Quality ControlsDistributed Data ProcessingBatch/Stream Processing
Soft Skills
CollaborationClient-Facing SkillsAgile Practices
Tools & Technologies
DatabricksSnowflakeApache SparkKafkaAWS KinesisApache AirflowAWS GlueUNIX/Linux
Industry Keywords
ETL PipelinesData WarehousingCompliance Governance
Tech Stack
Tools & technologiesAirflowApacheAWSCloudETLJavaKafkaLinuxPostgresPythonShell ScriptingSparkSQLUnix
About the role
Key responsibilities & impact- Build production software and data systems beyond traditional ETL pipelines
- Drive software and data engineering for a critical initiative for a premier banking client
- Work hands-on with cloud-native technologies and modern architecture
- Develop back-end systems with a data focus
- Perform enterprise-scale data movement and transformation during data migration activities
- Analyze large datasets using cloud data platforms
- Architect real-time, event-driven data streams
- Work with large-scale cloud data warehousing, performance optimization, and data modeling
Requirements
What you’ll need- 5+ years of experience in application development with strong Python programming skills
- 4+ years of hands-on experience with AWS cloud services
- 4+ years working with relational databases, including PostgreSQL, and writing complex SQL queries
- Experience with data migration activities in cloud environments, focusing on enterprise-scale data movement and transformation
- Experience working with cloud data platforms such as Databricks and Snowflake to analyze large datasets
- Familiarity with distributed data processing and batch/stream processing tools such as Apache Spark, Kafka, or AWS Kinesis
- Experience with workflow orchestration tools like Apache Airflow or similar
- Familiarity with enterprise ETL pipelines, Data Quality controls, and compliance Governance
- Practical experience architecting real-time, event-driven data streams using Kafka/OneStream
- Familiarity with large-scale cloud data warehousing, performance optimization, and modeling within Snowflake and OneLake
- Bachelor's Degree; in lieu of a degree, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college, in addition to the minimum years of experience required for the role
- Nice to have: Java development experience
- Nice to have: Experience with AWS Glue or other AWS data integration services
- Nice to have: Proficiency with UNIX/Linux environments, including basic shell scripting
- Nice to have: Experience working in Agile teams and knowledge of Agile engineering practices
- Nice to have: Prior consulting experience or aptitude for client-facing collaborative environments
Benefits
Comp & perks- Competitive compensation
- Professional development opportunities
- Flexible work arrangements
- Tools to grow personally and professionally