| Urgent requirement: Data Engineer (Remote) at Remote, Remote, USA |
| Email: [email protected] |
| From: Lokesh Shiv, Paramount Software Solutions [email protected] Reply to: [email protected] Data Engineer Duration: 6-month contract (likely extension) Location: Remote, EST hours Technical Skills: Lead the development of ETL development processes to integrate data from a wide variety of sources including File, Kafka, REST APIs, NoSQL DB Experience in data acquisition, data set to process, improving data reliability, quality, and efficiency Experience in PySpark, Python, and Java is a must Experience working with Elastic Search is a must Experience in Scala is preferred Experience building robust backend services and REST APIs Hands-on experience in Google Cloud Platform Hands-on experience in Big Data on GCP BigQuery, Pub/Sub, Dataproc, Dataflow Hands-on experience in GCP-Cloud Composer Good understanding of cloud design considerations and limitations and their impact on Pricing. Experience with source control systems such as GitHub, Bit bucket, and Jenkins build and continuous integration tools. Prior experience working with Docker, Kubernetes Experience with infrastructure configuration management tools such as Terraform, Puppet, and Chef Key Contributions: Designs, develops and deploys solutions that drive business growth and improve the customer experience Contributes to the research and development of techniques and technology that fuel business innovation and growth Engages with key business stakeholders in a discussion on business strategies and opportunities Examines trends and improvement opportunities for system integration testing (SIT) and user acceptance testing (UAT) for cross-functional application initiatives Enforces solution architecture standards across the product lifecycle phases by reviewing and sharing technological market trends and metrics Understands organization architecture, how architectures scale; influences priorities/trade-offs; applies knowledge to invent, evolve, improve, simplify, etc. Anticipates upcoming complexities or problems to strategically determine proactive resolutions Follows emerging technologies and company roadmaps, and provides critical input into decisions to purchase and leverage new Serves as a subject-matter-expert Informs and helps develop the company's strategy for Intellectual Property (IP) Provides critical input and recommendations that help establish engineering standards and programming languages for the deliverables. Responsibilities: Strategizes analytical data roadmap and drives a single version of the truth Reviews architectural standards, policies, and governing methodologies working with various domain and technical architects Works with the Security team in formulating and implementing data security methods Provides recommendations on data platform choices and evaluation criteria Coordinates with stakeholders and vendors on data engineering data and product roadmaps that align to business roadmaps Supports, measures and maintains data engineering capabilities by collaborating with Technology shared services; actively recommends planning outages, upgrades and the decommissioning of analytic functions and capabilities BI Engineering Responsibilities Drives the BI strategy and assists in defining the roadmap for BI maturity Regards, Lokesh Shiv Email: [email protected] Keywords: business intelligence database |
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| Wed Nov 30 21:36:00 UTC 2022 |