Data Engineer
KeySkills
Company Name
Job Description
Design, build, and maintain end-to-end data pipelines that are scalable, reliable, secure, and cost-effective
- Develop and enhance analytics infrastructure to support business reporting, metrics generation, ML models, and statistical analysis
- Manage and optimize AWS data services such as Glue, Redshift, MWAA (Airflow), EMR, and Lambda
- Ensure high availability and performance of production data pipelines
- Monitor data workflows, identify failures, perform root cause analysis, and implement permanent fixes
- Collaborate with business stakeholders to gather requirements and translate them into technical data solutions
- Partner with software engineering teams to integrate data models and analytics logic into portal-based application
- Implement data quality checks, governance, and best practices
- Optimize data processing for cost, performance, and scalability
- Identify opportunities for process improvement and innovation
- Design and implement modern data products that improve customer experience
- Mentor and train junior Data Engineers, providing technical guidance and best practices
- Work effectively in a fast-paced, ambiguous environment with a strong customer-obsessed mindset
Job Details
Experience :
4 To 9
Number Of
Vacancies :
1
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
10 Lac - 20 Lac
P.A
Education Summary
UG :
BE/B.Tech
PG :
Any PG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
4430883088
e-mailId :
melwintp@amazon.com
Address :
Amazon Development Centre (India) Pvt Ltd,
#40, 3rd Floor, SP InfocityM G R Salai,Perungudi, Kandanchavady,
Chennai.
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaGSA SME Sr Architect
Experience -
10 to 12
Key Skills -
Application Ticket Analysis,
AMS Ticket Optimization,
ITSM Ticket Data Analysis,
Elimination & Automation Opportunities,
Traditional RPA,
ITPA Automation,
Observability,
AIOps,
Gen AI,
Agentic AI,
Automation Tool Architecture,
Cost Modelling,
Implementation Roadmap,
Service Line Estimation,
Deep Dive Analytics,
Root Cause Analysis,
Operational Efficiency,
Productivity Improvement,
Enterprise Automation Tools,
Solution Architecture,
Collaboration with Solution Architects,
TOGAF,
ITIL,
AI & Automation Tool Certifications,
Power BI,
Dashboards,
Estimation & Pricing for AMS Deals,
Resource Loading,
Excel,
PowerPoint,
Business Process Knowledge,
Trending Technologies Awareness,
Proposal & RFP/RFI/RFS Response Preparation,
Analytical & Problem-Solving Skills.,
Lead Quality Engineer
Experience -
4 to 7
Key Skills -
Cucumber,
Selenium,
Programming & Scripting: Java,
API Testing: Rest API,
Test Strategy & Planning: Test Planning,
Test Strategy,
Regression Testing,
Functional Testing,
Defect Management & Analysis: Bug Tracking,
Defect Analysis,
Root Cause Analysis,
Collaboration & Communication: Code Reviews,
Team Collaboration,
Knowledge Sharing,
Mentoring,
Process Improvement & Best Practices: Test Process Optimization,
Automation Framework Development,
Industry Best Practices,
IT Consulting Domain Knowledge: Client Requirement Analysis,
Domain Expertise in IT Consulting,
Senior EDI Oracle Specialist
Experience -
6 to 8
Key Skills -
EDI,
Oracle ERP,
Oracle E-Business Suite,
Oracle Fusion,
Oracle EDI Gateway,
Oracle B2B Gateway,
Oracle SOA Suite,
Oracle Integration Cloud (OIC),
EDIFACT,
ANSI X12,
EDI Transaction Sets,
ORDERS,
ORDCHG,
DESADV,
DELJIT,
INVOIC,
Data Mapping,
Data Transformation,
EDI Validation,
Integration Frameworks,
eCommerce Integration,
Trading Partner Onboarding,
Supplier Integration,
Customer Integration,
AS2,
FTP,
SFTP,
VAN,
Monitoring and Troubleshooting,
SLA Management,
Documentation,
Compliance,
PL/SQL,
XML,
Java,
Stakeholder Management,
Problem Solving,
Supply Chain Integration.,
Software Engineer II
Experience -
4 to 6
Key Skills -
C,
C++,
C#,
Java,
JavaScript,
Python,
Azure,
Cloud Computing,
Distributed Systems,
Engineering Operations,
AI Automation,
Microservices,
Agile Development,
Secure Coding,
Software Design,
Observability,
Monitoring,
Reliability Engineering,
Live Site Operations,
Stakeholder Collaboration,
System Performance,
Scalability,