Job Description
Job DescriptionSenior Data Engineer / Data Platform Engineer
Location: Las Vegas- Onsite 4 days a week.
Duration: 6 months
Pay rate range: 55-65 per hour(C2C)
Job Description :
" Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
" Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats .
" Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
" Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
" Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
" Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
" Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
" Stay up-to-date with emerging technologies and best practices in data engineering.
" Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.
Experience:
" Bachelor s degree in computer science, Engineering, or a related field
" 8 year s experience in data engineering, ELT development, and data modeling.
" Proficiency in using Apache Airflow and Spark for data transformation, data integration, and data management.
" Experience implementing workflow orchestration using tools like Apache Airflow, SSIS or similar platforms.
" Demonstrated experience in developing custom connectors for data ingestion from various sources.
" Strong understanding of SQL and database concepts, with the ability to write efficient queries and Eligible to workimize performance.
" Experience implementing DataOps principles and practices, including data CI/CD pipelines.
" Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
" Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams.
" Familiarity with data visualization tools Apache Superset and dashboard development.
" Understanding of distributed systems and working with large-scale datasets.
" Familiarity with data governance frameworks and practices.
" Knowledge of data streaming and real-time data processing technologies (e.g., Apache Kafka).
" Strong understanding of software development principles and practices, including version control (e.g., Git) and code review processes.
" Experience with Agile development methodologies and working in cross-functional Agile teams.
" Ability to adapt quickly to changing priorities and work effectively in a fast-paced environment.
" Excellent analytical and problem-solving skills, with a keen attention to detail.
" Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Required Skills
Python, Pyspark, Sql,Airflow, Trino, Hive, Snowflake, Agile Scrum Good to have Linux,Openshift, Kubernentes, AI, Superset