Data Science
KeySkills
Company Name
Job Description
- Responsibilities
- The candidate must be excited by the prospect of optimizing or even re-designing data pipelines to support the modernization of data platform
- Be curious and eager to work across a variety and volume of data.
- Design and build scalable and reliable data pipelines with the latest tech stack.
- Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset.
- Support teams without data engineers with building decentralized data solutions and product integrations.
- Conceptualize, design and implement improvements to ETL processes and data through independent communication with data-savvy stakeholders.
- Designing, building, and operating a Data Lake or Data Warehouse.
- Knowledge to ingest, cleanse, transform and load data from varied data sources in the above Azure Services (Databricks and DataFactory)
- Strong knowledge of Medallion architecture
- Consume data from source with different file format such as XML, CSV, Excel, Parquet, JSON
- Strong problem-solving skill such as backtracking of dataset, data analysis etc.
- Strong Knowledge of in advanced SQL techniques for carrying out data analysis as per client requirement.
Mandatory Skills- The candidates need to understand different data architecture patterns and parallel data processing.
- S/he should be proficient in using the following services to create data processing solutions:
- Azure Databricks
- Azure Data Lake Storage
- Azure Data Factory
- Strong Knowledge in
- PySpark
- SQL
- Should be familiar to be built data pipelines and data analysis using Python
Desired Skills- Ability to query the data from serverless SQL Pool in Azure Synapse Analytics.
- Knowledge of Azure DevOps.
- Knowledge to configure any dataset with Vnet, Subnet Networks
- Knowledge of Microsoft Entra ID, to create App registration for single and multitenant for security purpose.
Job Details
Experience :
0 To 2
Number Of
Vacancies :
10
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
2 Lac - 4 Lac
P.A
Education Summary
UG :
BE/B.Tech
PG :
Any PG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
4442096000
e-mailId :
baiju.bakthakumar@cognizant.com
Address :
Cognizant Technology Solutions India Ltd ,
2 nd floor, KCT tech park,
Thudiyalur - Saravanampatti Rd,
Saravanampatty, Coimbatore, Tamil Nadu.
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaSenior 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,
IBM i RPG Developer Production Support
Experience -
3 to 5
Key Skills -
CLLE,
RPGLE,
Free Format RPGLE,
SQLRPGLE,
Stored Procedures,
IBM i,
AS/400,
iSeries,
DB2,
Subfile Programming,
Application Development,
Program Modification,
Unit Testing,
UAT Support,
Production Support,
Job Error Analysis,
Batch Processing,
Troubleshooting,
System Analysis,
Design and Development,
Help Desk Support,
Client Interaction,
Communication Skills,
Technical Support.,
Software Engineering IC
Experience -
1 to 2
Key Skills -
C,
C++,
C#,
Java,
JavaScript,
Python,
Azure,
Cloud Computing,
Distributed Systems,
Data Protection,
Disaster Recovery,
Distributed Storage,
Microservices Architecture,
Secure Coding,
Object Oriented Programming,
REST APIs,
Performance Optimization,
Scalability,
Reliability,
Resiliency,
Observability,
Monitoring,
Incident Response,
Live Site Operations,
Cost Optimization,