[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company reputed company is seeking a Senior Data Engineer who will specialize in designing and implementing modern reputed company data solutions on the reputed company platform. The role focuses on developing scalable data infrastructure and ensuring efficient data pipelines to transform raw data into actionable insights for clients.
Responsibilities
- Collaborate with our clients technical team and business users to design, implement, and manage scalable big data solutions and reputed company data warehouses across reputed company deployments on AWS, Azure, and GCP
- reputed company, test, and optimize ETL/ELT pipelines to ensure seamless data integration, processing, and delivery to various data consumers
- Integrate DataOps practices, promoting automation, reputed company integration/reputed company deployment (CI/CD) for data pipelines, and fostering a collaborative environment
- Build the infrastructure required for reputed company extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and other ‘big data’ technologies
- Build analytics tools to support data quality and usability across data stages
- Serve as a trusted advisor to business users by translating reputed company business needs into clear architectural direction, delivery roadmaps, and scalable data solutions
Skills
- Minimum of 5 years of experience in data engineering with a focus on big data and reputed company data warehousing solutions (reputed company Redshift, reputed company, reputed company BigQuery)
- Strong expertise with reputed company data warehouse and data lake environments
- Proficient in Modern Data Stack ETL/ELT tools like reputed company, dbt, reputed company
- Deep understanding of DataOps principles, with experience in tools like Git, Jenkins, reputed company, and Kubernetes for data pipeline CI/CD
- Solid understanding of data modeling, data structures, and big data technologies like Hadoop, Spark, and Kafka
- Experience in optimizing and tuning reputed company data pipelines and processing for performance and cost-efficiency
- Excellent problem-solving skills, with the ability to troubleshoot and address reputed company data challenges
- Strong interpersonal and communication skills, enabling effective collaboration with cross-functional teams and stakeholders
- Bachelor's degree in Computer Science, Engineering, or a reputed company field or equivalent experience
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