Data Engineer (Offshore)

Job Description –
The Marketing Analytic Systems data pipeline delivers value to various business partners by providing tools and capabilities to analyze large data sets for research, analytics, campaign management, reporting and tactical/strategic decision making.

Essential Functions:

• Design, develop and implement end-to[1]end solutions on google cloud platform - big query, cloud composer, apache airflow; strong ability to translate business requirements into technical design plan.

• Automate, deploy and support solutions scheduled on Crontab or Control-M
Deployment includes proper error handling, dependency controls and necessary alerts
Triage and resolve production issues and identify preventive controls.

• Build rapid prototypes or proof of concepts for project feasibility.

• Document technical design specifications explaining how business and functional requirements are met
Document operations run book procedures with each solution deployment.

• Identify and propose improvements for analytics eco-system solution design and architecture.

• Participate in product support such patches and release upgrades
Provide validation support for Google cloud and SAS products, including any changes to other infrastructure, systems, processes that impact Analytics infrastructure.

• Participate in full SDLC framework using Agile/Lean methodology.

• Support non-production environments with the Operations and IT teams.

• Consistently demonstrate regular, dependable attendance & punctuality.

• Perform other duties as assigned.

Top MUST have skills:
Our systems development team is looking for a Developer who has passion to work with data and to build solutions that supports our Analytic Systems Solution stack, which includes Google cloud platform (GCP), SAS (Linux environment) and Tableau Server/Desktop
The successful candidate would have extensive experience as a data engineer or ETL developer building and automating data transformation and loading procedures
Strong knowledge and experience using Big Query, SQL, cloud composer, Apache airflow and SAS to conduct data profiling/discovery, data modelling and process automation is required
The candidate must be comfortable working with data from multiple sources; Hadoop, DB2, Oracle, flat files
The projects are detail intensive, requiring the accurate capture and translation of data requirements (both tactical and analytical needs) and validation of the working solution
We work in a highly collaborative environment working closely with cross functional team members; Business Analysts, Product Managers, Data Analysts and Report Developers

Desired/nice to have skills:
Education Requirements Minimum 4 Year / Bachelors Degree in Computer Science/Engineering, Analytics, Statistics or equivalent work experience
Years Of Experience Minimum Years of Experience – 5 Years

Benefits Offered:

• Types of Insurance: Medical, Dental, Vision, Health Savings Account, Limited FSA, Life Insurance, Short Term Disability, Long Term Disability, Accidental Death, Critical Illness, Hospital Indemnity, Travel Accident, Pet Insurance, Home & Auto Coverage, Identity Theft Protection, Dependent Day Care
• Types of Paid Time Off: Paid Holidays, Vacation, Jury Duty, Holiday Worked Premium, Bereavement, Parental Leave
• Other Benefits: 401K, Bonuses based on Performance, Colleague Discount, Paid Adoption Assistance, Tuition Assistance, Matching Gift Program, Leave Sharing, Commuter/Transit, Employee Assistance Program, Group Legal Plan, 529 College Savings Plan, Direct Deposit, Retail Discounts

***Eligibility requirements apply to some benefits and may depend on location, job classification and length of employment
Benefits are subject to change and may be subject to specific plan or program terms.***