What are the responsibilities and job description for the Azure Data Engineer position at Outdefine?
As a skilled professional seeking career growth, you deserve access to the best job opportunities available. Join Outdefine's Trusted community today and apply to premier job openings with leading enterprises globally. Set your own rate, keep all your pay, and enjoy the benefits of a fee-free experience.Azure Data Engineer Outdefine Partner Web3 10-50 San Francisco, CA, USA Apply Now About the job Overview : Job Description : Cleans, prepares, and optimizes data for further analysis and modelling. Designs, develops, optimizes, and maintainsdata architecture and pipelines that adhere to Data Pipeline (ie ELT) principles and business goals.Roles and Responsibilities : Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles andbusiness goals. Solves complex data problems to deliver insights that helps business achieve its goals. Creates data products for engineers, analysts, and data scientist team members to accelerate their productivity. Engineer effective features for modelling in close collaboration with data scientists and businesses. Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures forstrategic enterprise projects and initiatives. Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analyticalsolutions. Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices. Develops and delivers communication and education plans on analytic data engineering capabilities, standards,and processes. Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and / or appliedmathematics as necessary to carry out role effectively.Required Skills : 5-10 years of experience required. Experience with designing and maintaining data warehouses and / or data lakes with big data technologies such as Spark / Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases. Experience in building data pipelines and deploying / maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem). Knowledge of Software Engineering fundamentals and software development tooling (e.g., Git, CI / CD, JIRA) andfamiliarity with the Linux operating system and the Bash / Z shell. Experience with cloud database technologies (e.g., Azure) and developing solutions on cloud computing servicesand infrastructure in the data and analytics space. Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker). Expertise in ELT and data analysis, SQL primarily. Conceptual knowledge of data and analytics, such as dimensional modelling, reporting tools, data governance,and structured and unstructured data.Skills required Data structures Data pipeline Azure Python Spark Employee locationSkills required Data structures Data pipeline Azure Python Spark Employee location San Francisco, CA, USA Experience level Not specified Workplace type onsite Job type full time contract Compensation $15 - 25 / hr Currency USDBecome a trusted member, apply to jobs, and earn token rewards Create a profile Create and customize your member profile.Complete assessment Earn 500 Outdefine tokens for becoming trusted member and completing your assessment.Apply for jobs Once you are a Trusted Member you can start applying to jobs.#J-18808-Ljbffr
Salary : $15 - $25
