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Job Description:

Data Engineer Job ID 914606 | ADCI - BLR 14 SEZ

DESCRIPTION As an Amazoncom Data Engineer you will be working in one of the worlds largest and most complex data warehouse environments You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud) You should have extensive experience 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 owners to develop and define key business questions, and to build data sets that answer those questions Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change

As a Data Engineer on Amazoncoms Business Data Technologies team, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazoncom data model for the enterprise to leverage You will be part of a team building the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations 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 Amazoncom

Interfacing with business customers, gathering requirements and developing new datasets in data warehouse
Optimizing the performance of business-critical queries and dealing with ETL job related issues
Tuning query performance
Identifying the data quality issues to address them immediately to provide great user experience
Extracting and combining data from various heterogeneous data sources
Modelling data and metadata to support ad-hoc and pre-built reporting
Working with customers to fulfill their data requirement using DW tables & maintain metadata for all DW Tables

BASIC QUALIFICATIONS A desire to work in a collaborative, intellectually curious environment
Degree in Computer Science, Engineering, Mathematics, or a related field and 4-5 years industry experience
Demonstrated ability in data modeling, ETL development, and data warehousing
Data Warehousing Experience with Oracle, Redshift, Teradata, etc
Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc)

PREFERRED QUALIFICATIONS Industry experience as a Data Engineer or related specialty (eg, Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience building data products incrementally and integrating and managing datasets from multiple sources
Query performance tuning skills using Unix profiling tools and SQL
Experience leading large-scale data warehousing and analytics projects, including using AWS technologies Redshift, S3, EC2, Data-pipeline and other big data technologies
Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
Linux/UNIX including to process large data sets
Experience with AWS

Job details

Bangalore, India

Business Intelligence

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Consumer Durables/FMCG, Warehousing
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 17th Mar 2020

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