| Senior Data Engineer-Los Angeles, CA OR New York City (Hybrid 2-3 days a week onsite) at York, New York, USA |
| Email: [email protected] |
| From: pankaj, Stellent IT [email protected] Reply to: [email protected] Senior Data Engineer Los Angeles, CA OR New York City (Hybrid 2-3 days a week onsite) Phone and Video Long Term Job Description: Looking for a Senior Data Engineer with a passion for building robust, scalable, efficient, and high-quality Data Engineering solutions to join our Engineering team. If you enjoy designing and building innovative data engineering solutions using the latest tech stack in a fast-paced environment, this role is for you. Primary Job Duties and Responsibilities Collaborate with and across Agile teams to design and develop data engineering solutions by rapidly delivering value to our customers. Build distributed, low latency, reliable data pipelines ensuring high availability and timely delivery of data Design and develop highly optimized data engineering solutions for Big Data workloads to efficiently handle continuous increase in data volume and complexity Build highly performing real-time data ingestion solutions for streaming workloads. Adhere to best practices and agreed upon design patterns across all Data Engineering solutions Ensure the code is elegantly designed, efficiently coded, and effectively tuned for performance Focus on data quality and consistency, implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Create design (Data Flow Diagrams, Technical Design Specs, Source to Target Mapping documents) and test (unit/integration tests) documentation Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Focus on end-to-end automation of data engineering pipelines and data validations (audit, balance controls) without any manual intervention Focus on data security and privacy by implementing proper access controls, key management, and encryption techniques. Take a proactive approach in learning new technologies, stay on top of tech trends, experimenting with new tools & technologies and educate other team members. Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. Communicate clearly and effectively to technical and non-technical leadership. Minimum Qualifications: Education: Bachelor's degree in Computer Science, Computer Engineering, or relevant field Work Experience: 7+ years of experience in architecting, designing and building Data Engineering solutions and Data Platforms Experience in building Data Warehouses/Data Platforms on Redshift/Snowflake Extensive experience building real-time data processing solutions. Extensive experience building highly optimized data pipelines and data models for big data processing. Experience working with data acquisition and transformation tools such as Fivetran and DBT Experience building highly optimized & efficient data engineering pipelines using Python, PySpark, Snowpark Experience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink Experience working with real-time data streams processing using Apache Kafka, Kinesis or Flink Experience working with various AWS Services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue Catalog) Expertise in Advanced SQL programming and SQL Performance Tuning Experience with version control tools such as GitHub or Bitbucket. Expert level understanding of dimensional modeling techniques Excellent communication, adaptability, and collaboration skills Excellent analytical skills, strong attention to detail with emphasis on accuracy, consistency, and quality Strong logical and problem-solving skills with critical thinking Good to Have: Experience in designing and building applications using Container and serverless technologies Experience working with fully automated workflow scheduling and orchestration services such as Apache Airflow Experience working with semi-structured, unstructured data, No SQL databases Experience with CI/CD using GitHub Actions or Jenkins Experience designing and building APIs Experience working with low-code, no-code platforms Keywords: continuous integration continuous deployment sthree information technology California |
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| Thu Dec 28 02:33:00 UTC 2023 |