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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data engineering, focusing on building and optimizing big data pipelines using tools like Apache Spark, Databricks, and AWS. Proficient in data governance, security practices, and managing large-scale data lake environments.
Highest-signal resume keywords
Data EngineeringApache SparkDatabricksAWS S3Delta Lake
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentBig Data ManagementPythonJavaSQLData Lake PlatformsCost ManagementData GovernanceData ModelingIaC Practices
Soft Skills
Clear CommunicationOwnership MindsetCollaborative Skills
Tools & Technologies
AWS RedshiftSnowflakeAWS GlueAWS AthenaAWS LambdaApache Iceberg
Certifications & Qualifications
Master’s Degree in Computer ScienceMaster’s Degree in Data ScienceMaster’s Degree in Applied Mathematics
Industry Keywords
Data SecurityData GovernanceCompliance Best PracticesData Lake IngestionObservability Practices
Tech Stack
Tools & technologiesAmazon RedshiftApacheAWSCloudJavaPythonSparkSQL
About the role
Key responsibilities & impact- Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion, handling hundreds of TBs
- Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure
- Leverage Databricks, Snowflake, or AWS Redshift alongside AWS S3, Glue/Athena, and Lambda for scalable data engineering
- Manage, create, and optimize Delta Lake or Apache Iceberg tables
- Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers
- Join Odaseva’s R&D team and help shape the future of its secure data management platform for Salesforce environments
Requirements
What you’ll need- 7+ years of experience in data engineering or backend data platforms
- At least 3 years of hands-on experience building and operating big data pipelines
- Proven track record handling large volumes of data, at least hundreds of TB
- Deep knowledge of at least one data lake platform: Databricks, Snowflake, or AWS Redshift
- Strong expertise in Apache Spark and lakehouse table formats: Delta Lake or Apache Iceberg
- Strong Python or Java and SQL skills
- Experience with cloud infrastructure including AWS S3, Athena, and Glue
- IaC and observability practices
- Understanding of cost management principles, data security, governance, and data modeling
- Equivalent engineering school degree or Master’s degree in Computer Science, Data Science, or Applied Mathematics
- Fluent in English and French
- Clear communication, ownership mindset, and strong collaborative skills
Benefits
Comp & perks- Industry-leading compensation and benefits
- Hybrid, flexible office culture
- 2 days remote work per week
- Inclusive and diverse work environment
- Supportive and collaborative work culture
- Professional growth and career advancement opportunities