Raas Infotek LLC

Raas Infotek LLC

Senior Data Engineer

Plano, Texas, USA · Senior · Contract

Sponsorship not specifiedDetected 40 days ago
PythonSQLSnowflakeRedshiftAWSGCPAzureCloud PlatformsTerraformCI/CDDevOpsKafkaSparkAirflowdbtData EngineeringLeadership

About the role

  • Ensure data quality, governance, security, and compliance standards are met.
  • Mentor junior engineers and provide technical leadership to the data engineering team.

Responsibilities

  • Design and implement scalable, high-performance data pipelines and ETL/ELT processes.
  • Develop and maintain enterprise data lakes, data warehouses, and data marts.
  • Lead data architecture initiatives and establish best practices for data engineering.
  • Optimize data storage, processing, and retrieval for large-scale datasets.
  • Collaborate with Data Scientists, Business Analysts, and stakeholders to deliver data solutions.
  • Drive cloud migration and modernization initiatives.

Requirements

  • 10+ years of experience in Data Engineering or related roles.
  • Strong expertise in Python, SQL, and PySpark.
  • Hands-on experience with Apache Spark, Kafka, and data streaming technologies.
  • Experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
  • The ideal candidate will have extensive experience in cloud-based data solutions, data warehousing, big data technologies, and data architecture.
  • Required Skills 10+ years of experience in Data Engineering or related roles.

Nice to have

  • Bachelor''s or Master''s degree in Computer Science, Engineering, or related field.
  • Cloud certifications (AWS, Azure, or Google Cloud Platform) preferred.
  • Experience leading data engineering teams and large-scale data projects.
  • Key Technologies Python | SQL | PySpark | Spark | Kafka | Airflow | dbt | Snowflake | AWS/Azure/Google Cloud Platform | Data Warehousing | ETL/ELT | Terraform | CI/CD
  • AWS, Azure, or Google Cloud Platform.
  • Strong knowledge of data warehousing solutions such as Snowflake, Redshift, or BigQuery.
  • Experience with ETL/ELT tools such as Airflow, Informatica, or dbt.
  • Deep understanding of data modeling, performance tuning, and data governance.
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