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| Job Location | Hyderabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | DBA / Datawarehousing |
| EmploymentType | Full-time |
As a Data Engineer, you will develop new data engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to the architectures as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform for the enterprise to leverage. You will build data pipelines to feed models, dashboards and BI tools for real-time reporting and large-scale offline use cases You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at multiple Amazon business units across the globe You will work closely with software engineering teams to drive real-time implementations.Bachelors degree in computer science, engineering, mathematics, or a related technical discipline4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasetsExperience working with AWS big data technologies (EMR, Redshift, S3)Demonstrated strength in data modeling, ETL development, and data warehousingExperience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)Knowledge of data management fundamentals and data storage principlesA desire to work in a collaborative, intellectually curious environment.5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.Knowledge of distributed systems as it pertains to data storage and computingExperience using business intelligence reporting tools (Tableau, Business Objects, Cognos, etc.)Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsComfort in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategyExperience providing technical leadership and mentoring other engineers for best practices on data engineeringKnowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operationsKnowledge of SQL queries or a willingness to learn.,
Keyskills :
sql python informatica java atamanagement datawarehousing businessintelligencereporting datascience bigdata usecases datamodeling businessunits sqlqueries