Below are 3- requirements
S.R.Swamy.K
Hi Team,
Below are 3- requirements
Job description
Lead Salesforce Developer
Work Location – Phoenix AZ
"Have at least 5+ years in Salesforce implementations.
Have deep understanding on all aspects of Salesforce configuration and technical/functional capabilities, including all changes and potential system implications related to the Salesforce release upgrades. Configure the salesforce application based on technical design & business requirements.
Work within the Service Cloud module of Salesforce.com to develop and customize the application. Develop custom applications using Apex, Visual Force, JavaScript, AJAX, HTML, and CSS.
Work closely with other Developers, Technical Architects, Business Analysts and Project Managers on coding, troubleshooting and debugging. Perform reviews on code developed by peer developers and contractors.
Perform support and development activities for applications/projects.
Support change management (release) process to develop and implement new applications and update existing applications.
Support change control best practices, including the management of user requests/approvals and promote changes to production.
Skills
APPS NICHE SKILLS - CRM-SALESFORCE.COM/APEX (SFDC).
**************************************************************************************************************
Job description
Title: TIBCO BE/AS : Location: Lakeland, FL
Type: FTE( Visa Independent)
Skills:
Experience in TIBCO
Business Events 5.5. (Total BE expereince of 2 years)
Experience in TIBCO Active Spaces - 2 years
Experience of upgrading TIBCO BE is advantageous
Knowledge/Experience in Java
Good communication skills
Total experience of at least 5 years in Software Development.
*******************************************************************************************************************************************
AWS
Data Engineer Job Description
Location
– New York
Full
time/contract
Job Overview
We are looking for a savvy Data Engineer to join
our growing team of analytics experts. The hire will be responsible for
expanding and optimizing our data and data engineering opportunities, including
optimizing data flow, validation and collection of data from various systems.
The ideal candidate is an experienced data engineer and data science who enjoys
optimizing data systems, data analysis and visualization . The Data Engineer
will support our software developers, database architects, data analysts and
data scientists on data initiatives and will ensure optimal data delivery
architecture is consistent throughout ongoing opportunities. They must be
self-directed and comfortable supporting the data needs of multiple accounts,
systems and products.
Responsibilities for Data Engineer
• Broad view on data engineering and data
science concepts
• Exposure to data engineering products,
frameworks and tools
• Experience with assemble large, complex data
sets (Big data) that meet functional / non-functional business requirements.
• Identify, design, and implement process
improvements: automating manual processes, optimizing data ingestion,
transform, validate, re-designing Big Data infrastructure for greater
scalability, etc.
• Experience to build architectures for optimal
extraction, transformation, and loading of data from a wide variety of data
sources using SQL and AWS ‘big data’ technologies.
• Experience in building analytics tools that
utilize the data to provide actionable insights into customer acquisition,
operational efficiency and other key business performance metrics.
• Work with stakeholders including the
Executive, Product, Data and Design and architects teams to assist with
data-related technical issues and support their data infrastructure needs.
• Work with data tools for analytics and data
scientist team members that assist them in building and optimizing data
accelerators.
• Work with data and analytics experts.
Qualifications for Data Engineer
• Advanced working SQL knowledge and experience
working with relational databases, query authoring (SQL) as well as working
familiarity with a variety of databases.
• Experience building and optimizing ‘big data’
data pipelines, architectures and data sets.
• Experience performing root cause analysis on
data and processes to answer specific business questions and identify
opportunities for improvement.
• Strong analytic skills related to working with
unstructured datasets.
• Build processes supporting data
transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating,
processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream
processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with
cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years
of experience in a Data Engineer role, who has attained a Graduate degree in Computer
Science, Statistics, Informatics, Information Systems or another quantitative
field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark,
Kafka, etc.
• Experience with relational SQL and NoSQL
databases, including Postgres and Cassandra.
• Experience with AWS cloud services: EC2, EMR,
RDS, Redshift
• Experience with stream-processing systems:
Storm, Spark-Streaming, etc.
• Experience with object-oriented/object
function scripting languages: Python, Java, C++, Scala, etc.
**********************************************************************************************************************
S.R.Swamy.K