A technology solutions provider is seeking a highly motivated Engineer for a critical Data Lake migration project in Dallas, TX. The role involves end-to-end migration processes, ensuring data integrity, and collaborating with stakeholders. Candidates should possess strong data engineering skills, coding proficiency in Python or Java, and familiarity with CI/CD best practices. This is a 100% onsite position, requiring applicants to be local to the area.
Qualifications
Minimum 3-5 years of hands-on coding experience in a team-based setup.
Strong understanding of Software Development Life Cycle (SDLC).
Advanced knowledge of data partitioning and clustering.
Responsibilities
Refactor and migrate extraction logic to the Lakehouse.
Execute migration of datasets ensuring data integrity.
Translate and optimize SQL and Spark-based patterns for Snowflake compatibility.
Skills
Data engineering skills
Strong communication
Collaboration abilities
Troubleshooting (SQL)
Basic scripting
Proficiency in Python or Java
Understanding of data formats like JSON, Avro, Parquet
Experience with CI/CD best practices
Familiarity with data extraction tools
Ability to work across time zones
Education
Bachelor’s or Master’s degree in Computer Science or related field
Tools
Kafka
Apache Spark
Snowflake
Hadoop
Apache Iceberg
Job description
A technology solutions provider is seeking a highly motivated Engineer for a critical Data Lake migration project in Dallas, TX. The role involves end-to-end migration processes, ensuring data integrity, and collaborating with stakeholders. Candidates should possess strong data engineering skills, coding proficiency in Python or Java, and familiarity with CI/CD best practices. This is a 100% onsite position, requiring applicants to be local to the area.