| Data Engineer===Remote===No H1, OPT, and CPT at Remote, Remote, USA |
| Email: [email protected] |
| From: Prakash Singh, RCI [email protected] Reply to: [email protected] Job Title: Data Engineer LOCATION: REMOTE Duration: 6+ Month Contract VISA: No OPT, CPT or H1B Tech Stack used: (Must have skills) Search and Auto complete Vespa Search Engine (vectorized docs) Argo Flow Data ingestion Listen to Kafka, API, S3, give us data in any form. Data processing, schema Vespa, AWS and Azure, multi cloud strategy AKS containers, Jenkins flow, 50 plus repos, ML modeling 50K training cost Graphana based logs Log data aggregation Some Big Data Your Impact: Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our clients business Translate clients requirements to system design and develop a solution that delivers business value Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects Automate data platform operations and manage the post-production system and processes Conduct technical feasibility assessments and provide project estimates for the design and development of the solution Mentor, help and grow junior team members Your Skills & Experience: Demonstrable experience in data platforms involving implementation of end to end data pipelines Good communication and willingness to work as a team Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud) Implementation experience with column-oriented database technologies (i.e., Big Query, Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (i.e., SQL Server, Oracle, MySQL) Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc. Ability to handle module or track level responsibilities and contributing to tasks hands-on Experience in data modeling, warehouse design and fact/dimension implementations Experience working with code repositories and continuous integration Set Yourself Apart With: Developer certifications for any of the cloud services like AWS, Google Cloud or Azure Understanding of development and project methodologies Willingness to travel Keywords: machine learning sthree database |
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| Thu Aug 17 23:43:00 UTC 2023 |