Senior Test Automation Engineer

Roles and Responsibilities

Financial Controller

1. Leadership and Strategic Planning: Collaborating with senior leadership on

strategic initiatives and providing financial insights

2. Budgeting and Forecasting: Leading the budgeting and forecasting process to

provide accurate financial projections.

3. Cost Control: Implementing/ identify measures to control costs and improve

profitability

4. Team Management: Leading and developing a team to ensure effective

performance and goals achievement

5. Risk Management: Identifying financial risks and implementing strategies to

mitigate them.

6. Hands on experience of fundraising from Institutional Investors and closely

monitor the due diligence process for fundraising.

7. Liaising with financial institutions, regulatory authorities, and other agencies

8. Dealing with Investment Bankers, NBFC, Rating Agencies and Govt authorities

9. Raising long term Debt and short-term funding

10. Interacting with Strategic investor, Private Equity, FIs and NBFCs

Chief Compliance Officer

11. Ensuring compliance with secretarial related matters under Companies Act 2013.

12. Liaison with Stock Exchanges, SEBI and other regulatory authorities and look

after yearly/half yearly returns, audit reports, SEBI enhanced supervision data

and other periodic compliances.

13. Handling of periodic and event-based compliances of Stock Broking, DP, Merchant

Banking, PMS and Market Making. Ensuring timely & accurate regulatory

submission to exchanges, Depositories, various PMS submission etc.

14. Review and defining processes for implementation of various circulars issued by

Exchanges, Depositories, SEBI etc.

15. Query handling in relation to regulatory area of SEBI, Exchanges & Depositories.

16. Handling regulatory & exchange inspections, if any.

17. Assist the Senior Management in overseeing the implementation of the

Compliance Policy, internal codes of conduct, prescriptions in compliance

manuals, etc.

18. Drafting of Annual Report sections relating to secretarial and legal compliances

under Companies Act.

Profile: Sr.Technical Content writer 

Experience : 4.0 Years +

keyskill: tech writing resource – for writing customer-facing documentation – online manuals, release notes etc"

Required Expertise

• 4 to 6 years of experience as a Technical Writer or Software Documentation.
• Learning/understanding the documentation tools and process.
• Determine the needs of end users of technical documentation.
• Strong command of the English language, including the meaning and spelling of words, rules of composition, and grammar.
• Research, design, illustrate, revise, edit, and write high-quality documentation.
• Re-writing existing documents with proper standards.
• Experience translating complex technical concepts into easy-to-understand, accurate, and concise user documentation.
• Preparing easy-to-understand Online Help, User Manual, and other User Documentation.
• Assisting in preparing templates, preparing/formatting Word documents, power point presentations in accordance with prescribed organization standards.
• Create tutorials to help end-users use a variety of applications.
• Prepare articles, and blogs, to promote software applications.

Thanks & Regards

Job Description:

Job Title : Mulesoft Ops Lead

Location : 100% Remote

What we're looking for

• 7+ years of professional work experience in the Enterprise Integration domain.
• Must have experience of implementing 2-3 end to end enterprise level integration solutions.
• Experience in Design and Implement Integration solutions leveraging Mulesoft.
• Good Understanding of REST/SOAP principles and Dataweave.
• Candidates must have a good understanding of Anypoint platform and Anypoint Studio.
• Must be able to work as an individual contributor.
• Should have Strong knowledge on securing the web APIs data-integrity/confidentiality (Oauth 2. 0, Web JWT Token, x509 certificates).
• Should have Knowledge on API Management concepts and fundamentals.
• Should have exposure to Integration with Salesforce, Workday, and Database.
• Should have a good understanding of HTTP and HTTPS protocols and basic knowledge on HTTP headers, request/response, XML/JSON data structure, SOAP/REST services.
• Experience on any enterprise service bus product and/or JMS messaging.
• Should have knowledge on MUnit to automate testing.
• Experience on Oracle SOA, Oracle B2B is an advantage.
• Client facing roles so good communication skills are a must.

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners