Innowhyte Inc
Data Engineer
Austin, Texas, USA · Contract
Sponsorship not specifiedDetected 64 days ago
SQLSnowflakeAWSCI/CDDevOpsSparkData EngineeringCommunicationProblem Solving
About the role
- Role: Data Engineer – Snowflake & AWS Location: Austin, TX Experience: 4–7 Years Job Summary We are seeking a skilled Data Engineer with strong expertise in Enterprise Data Warehousing, Snowflake, and AWS cloud technologies. The ideal candidate will be responsible for designing and developing scalable data pipelines, integrating data from multiple sources,
- and building robust analytical data platforms. The role involves working with cloud-native data warehouse tools, Spark, event streaming platforms, and modern data integration technologies to support enterprise analytics and reporting solutions. Strong analytical, problem-solving, and communication skills are essential. Key Responsibilities Design, develop,
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Build data replication frameworks and data integration solutions.
- Develop and maintain reporting and analytical data structures.
- Develop CI/CD pipelines and deployment processes for data engineering workflows.
- Build and deploy reusable and standardized architecture components.
- Participate in solution design, requirement gathering, and technical discussions.
- Mentor junior team members and support knowledge sharing initiatives.
Requirements
- Strong experience with Snowflake Data Warehouse.
- Experience in Enterprise Data Warehousing concepts and architectures.
- Strong knowledge of ETL/ELT development and data integration.
- Experience with Spark and distributed data processing.
- Knowledge of CI/CD implementation and DevOps practices.
- Familiarity with event streaming platforms and data pipeline orchestration.
Nice to have
- Experience with modern cloud-native data architectures.
- Knowledge of data governance and data quality practices.
- Experience working in Agile development environments.
- Curate, standardize, and transform data from multiple enterprise sources.
- Work with Spark, event streaming platforms, and cloud data technologies.
- Assist in task planning, effort estimation, and project scheduling.
- Required Skills Strong experience with Snowflake Data Warehouse.
- Hands-on experience with AWS cloud services.
Skills
- Strong analytical, problem-solving, and communication skills are essential.
- Leverage data integration tools for efficient data management, wrangling, packaging, and integration.
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