Data Engineer II, WHS-Tech Job Vacancy in ADCI – Karnataka Bengaluru, Karnataka – Updated today
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Company Name : ADCI – Karnataka
Location : Bengaluru, Karnataka
Position :
Job Description : 5+ years of Data Engineering experience.
Experience writing high quality, maintainable SQL on large datasets.
Ability to write code in Python, Ruby, Scala or other platform-related Big data technology.
Expertise in Star Schema data modelling
Exposure/Experience in Big data Technologies (hadoop, spark, etc.).
Expertise in the design, creation and management of large datasets/data models
Experience working on building /optimising logical data model and data pipelines while delivering high data quality solutions that are testable and adhere to SLAs
Experience with AWS services including S3, Redshift, EMR and RDS
Excellent verbal and written communication skills
Ability to work with business owners to define key business requirements and convert to technical specifications
Job summary
Amazon’s Workplace Health and Safety organization is changing the way we think about our workplace, so that we can keep our associates healthy and safe. We have just started scratching the surface in terms of possibilities, and are exploring everything from using devices to improve health, to analyzing data from our buildings and devices to predict safety-related events. Our team is reinventing the way Amazon anticipates, assesses, and manages workplace hazards and risks.
As a Data Engineer, you should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform 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. You should have the ability to develop and tune SQL to provide optimized solutions to the business.
Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Experience working with other engineers in defining data engineering best practices and leveraging software development life cycle best practices such as agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
This post is listed Under  Technology
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