Technical Writer
- B.E (Aeronautical/Mechanical)/AME
- 1 -3 years experience in Aerospace Technical publications and S1000D, ATA2200 specifications.
- Experience in Engine Manuals (EM/EMM/CR/CIR etc.), Aircraft Maintenance Manuals is preferred.
- Previous use and/or knowledge of Adobe FrameMaker, Quicksilver, and/or Arbortext Editor required.
- Ability to read, analyze, and interpret technical procedures, technical manuals, illustrated parts lists, and schematics. Ability to write technical manuals, procedure manuals, and service bulletins.
- Ability to effectively present information and respond to questions from managers, team members, and customers.
- Familiar with rules and usage of ASD STE 100.
- Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
- Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
- Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form..
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RESPONSIBILITIES:
Oversee the sales process to attract new clients.
Work with senior team members to identify and manage risks.
Maintain fruitful relationships with clients and address their needs effectively.
Prepare and deliver pitches to potential investors.
Foster a collaborative environment within the organization.
Transfer call to the supervisor after initial explanation.
SKILLS:
Excellent spoken English.
Both Graduate/Undergraduate may apply.
Ability to develop good relationships with current and potential clients.
Excellent communication skills.
Knowledge of productivity tools and software.
Ready to work in Nightshift.
With a relevant experience only in Pharma background needs to fulfill works of preparation of Product Manuals, Visual Aids, Literature, new product launch materials, imparting training to field force on technical and product knowledge, answering queries from doctors and field force, suggesting new product introductions and providing on the job training to the field force. Person should be ready for extensive traveling.
Hello,
As discussed below is the JD of GC/BDE Intern/BDE/Sr,BDE/BDM- Inside Sales.
Company Name- uFaber Edutech Pvt Ltd.
Shift Timing/ Day- 10:30am-7:30pm/ Mon-Sat working.
Website: www.ufaber.com
Who are we-
uFaber is a well-funded Edutech startup, founded by serial entrepreneurs from IIT Bombay to change the way we learn. We sell high-quality online courses on a variety of topics, from exam preparation to certifications.
We are looking for an enthusiastic team member to help discover new prospects & bring closures. An energetic and focussed practitioner who wants to make a career in Sales/Inside Sales.
Key Strengths:
Pleasing personality, infectious energy and ability to sell.
Responsibilities
- Discover prospects through cold calling, networking and social media
- Meet to convert and
- Manage converted accounts
Requirements
- Bike (due to currently restricted modes of transport)
- 1-3 years experience in sales (to give you a jump start)
- Willingness to be on the field (well you got to meet your clients!)
If you are a person befitting the role, do connect with us with your resume, current and expected Salary.
PS: THIS IS A WORK FROM OFFICE JOB ONLY. IF THIS IS NOT SOMETHING YOU ARE OPEN TO, PLEASE DONT APPLY.
Location: Chennai- Guindy Industrial Estate
Duration: Full time role
Company: Mobile Programming (https://www.mobileprogramming.com/" target="_blank">https://www.
Client Name: Samsung
We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be
responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing
data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline
builder and data wrangler who enjoy optimizing data systems and building them from the ground up.
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 projects. They must be self-directed and comfortable supporting the data needs of multiple
teams, systems and products.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
Build analytics tools that utilize the data pipeline 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 teams to assist with
data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
Experience building and optimizing big data ETL pipelines, architectures and data sets.
Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
Experience performing root cause analysis on internal and external 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.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 3-6 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: Spark, Kafka, HBase, Hive etc.
Experience with relational SQL and NoSQL databases
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, Scala, etc.
Skills: Big Data, AWS, Hive, Spark, Python, SQL