**C1\-Database Design/Analysis/Administration Engineer**
**Description**
At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible\. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re\-examining the way people learn best, whether it’s one child in our own backyard or an education community across the globe\.We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always be better\. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small\.
**Qualifications**
# Job Description \- Data Engineer
Overall Experience: 2\-4 years
## Job Responsibilities
+ Design, develop, and deploy data solutions for Big Data/BI projects for Pearson Global Product
+ Design, develop, and deploy data integrations, reporting with cloud based database technologies, and ETL \(e\.g\., Talend for Big Data\)processes
+ Understand and apply cloud\-based data technologies to build out a scalable yet simple and fast Data Ecosystem infrastructure
+ Design and develop web\-based visualizations and other data analysis solutions for data analysts and business users
+ Develop, maintain, and optimize the Data Ecosystem through the entire data lifecycle, from data modeling to consumer output
+ Understand, validate, and refine business requirements by collaborating with product management and business stakeholders
+ Develop in\-depth understanding of underlying data, data structures, and business use cases to ensure data delivery meets business needs for an industry leader in education
+ Authorandmodify simple and complex SQL queries for standard and ad\-hoc reporting needs
+ Review and modify queries and database structures using database optimization techniques, indexing, and query optimization for efficient performance of data solutions
+ Debug, monitor, and troubleshoot data solutions and fix root cause of issues
+ Develop and execute unit tests for individual modules within data solutions
+ Collaborate with QA engineers to develop and automate system and data testing
+ Contribute to an ongoing, system\-wide effort to maintain well defined, high quality, predictable data which conforms to Pearson data models and data capture standards
+ Collaborate with internal application teams to continuously improve the Data Ecosystem
+ Maintain an accurate and useful Data Dictionary, and promote its use by system stakeholders
+ Work effectively in a fast\-paced, Agile development environment
+ Mentor junior Data Engineering team members on a daily basis and provide guidance and assistance in members’ career development
## Job Requirements
### Education
Ideal candidate must possess at least a 4\-year Bachelor’s Degree in Computer Science/Information Technology or equivalent\. Relevant prior experience in software development can be demonstrated in absence of a computer science major\.
### Experience
+ Minimum of two years in a Data Engineer role with a background in data technologies/business intelligence/data warehousing and experience in designing and developing data solutions within a large\-scale environment
### Required Skills
#### Relational DBMSs
+ Very good knowledge of SQL querying
+ Rich experience in relational data modeling
+ Good work experience in writing complex queries and stored procedures
+ Good knowledge in query performance tuning
+ Strong skills and work experience with relational database like Oracle, Microsoft SQL Server, MySql, etc\., and ability to work with multiple sources and formats of data
+ Ability to carry out monitoring, tuning, and database performance analysis\.
+ Experience in developing logical,physical and conceptual data models\.
#### Dimensional Data Modeling
+ Good work experience in developing data models and data warehouses
+ Experience in designing and developing dimensional models for a business process
#### ETL Engineering
+ Good knowledge in designing and implementing ETL procedures to intake data from internal and outside sources, as well as ensuring data is verified and quality is checked
+ Experience in developing ETL solutions for Big Data integrations
+ Good experience in integrating data from relational data sources \(Oracle, MSSQL, MySql\)
+ Hands on experience in integrating data from object\-based data sources \(MongoDB, Cassandra, DynamoDb\)
+ Experience in integrating data from flat files
+ Experience in integrating data from JSON structures
+ Experience in optimizing ETL jobs and workflows
+ Experience in working with ETL job scheduling tools
### Desired Skills
+ Working knowledge of Big Data / cloud\-based / columnar databases \(such as Hbase, MongoDB, AWS Redshift, etc\.\)
+ Experience in scripting languages like Python, Ruby, Perl, etc\.
+ Experience in ETL tools like SSIS, Talend, Pentaho, etc\., is a plus
+ Experience with version control systems such as Git
+ Ability to recommend improvements to organisation’s standards, methods, and procedures
+ Ability to participate and encourage continuous improvement within the program and share experiences across programs
+ Ability to collaborate with Global business stakeholders directly when required to understand requirements and discuss solutions
**Primary Location:** IN\-TN\-Chennai
**Work Locations:** IN\-Chennai\-Sholinganallur Village Plot No\. 01, SBD\-2, 7F, Sholinganallur Village Tambaram Taluk, Kancheepuram District Chennai
**Job:** Technology
**Organization:** Professional English
**Employee Status:** Regular Employee
**Job Type:** Standard
**Shift:** Day Job
**Job Posting:** Nov 22, 2016