| Immediate Job Opening For "Data Engineer" at Remote, Remote, USA |
| Email: [email protected] |
| From: Deepika, Teamware solution [email protected] Reply to: [email protected] Work Authorization: C2C & W2 Duration:6-12 Months Please look below for the detail Job Description: Responsibilities: Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals Solve complex data problems to deliver insights that helps our business to achieve their goals Create data products for analytics and data scientist team members to improve their productivity Advise, consult, mentor and coach other data and analytic professionals on data standards and practices Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Skills Bachelors degree required; Computer Science, MIS, or Engineering preferred 5 years of experience working in data engineering or architecture role, 7+ preferred Expertise in SQL and data analysis and experience with at least one programming language (Python/PySpark or Scala preferred) Experience developing and maintaining data warehouses in big data solutions Experience with developing solutions on cloud computing services (Azure, Azure Data Lake, Azure Data Factory, and Databricks) in the data and analytics space (preferred) Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud data lake technologies Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka (Preferred) Familiarity with the Linux operating system (Preferred) Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Passionate about Agile software processes, data-driven development, reliability, and experimentation Experience working on a collaborative Agile product team Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information Strong work ethic; ability to work at an abstract level and gain consensus Keywords: business intelligence rlang |
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| Fri Dec 02 20:59:00 UTC 2022 |