Data Engineer/ DevOps - Enterprise Big Data Platform

Responsibilities: 

• Develop and maintain high-quality, efficient, and scalable backend applications. 
• Participate in all phases of the software development lifecycle (SDLC) 
• Write clean, well-documented, and testable code adhering to best practices. 
• Collaborate with team members to ensure the successful delivery of projects. 
• Debug and troubleshoot complex technical problems. 
• Identify and implement performance optimizations. 
• Participate in code reviews 
• Hands-on experience with Springboot, Java 8 and above. 
• 5-7 years of experience developing Java applications. 
• Knowledge about at least one messaging system like Kafka, RabbitMQ etc. 
• Required React developer requirements, qualifications & skills: 
• Proficiency in React.js and its core principles 
• Strong JavaScript, HTML5, and CSS3 skills 
• Experience with popular React.js workflows (such as Redux) 
• Strong understanding of object-oriented programming (OOP) principles. 
• Experience with design patterns and best practices for Java development. 
• Proficient in unit testing frameworks (e.g., JUnit). 
• Experience with build automation tools (e.g., Maven, Gradle). 
• Experience with version control systems (e.g., Git). 
• Experience with one of these databases – Postgres, MongoDb, Cassandra 
• Knowledge on Retail or OMS is a plus. 
• Experienced in containerized deployments using Docker, Kubernetes and DevOps mindset 
• Ability to reverse engineer existing/legacy and document findings on confluence. 
• Create automated tests for unit, integration, regression, performance, and functional testing, to meet established expectations and acceptance criteria.

Job Summary

We are looking for a skilled and experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Python, PySpark, Data Modeling, and Power BI, with hands-on experience in designing, developing, and optimizing scalable data solutions. The role requires working closely with business stakeholders, data architects, and analytics teams to build robust data pipelines and semantic models that enable data-driven decision-making.

Technical Skills

• Strong hands-on experience in Python and PySpark development.
• Expertise in building and optimizing Data Engineering solutions and ETL pipelines.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
• Experience with Power BI Data Modeling and Semantic Layer development.
• Proficiency in DAX (Data Analysis Expressions).
• Experience designing and managing Semantic Models in Power BI.
• Strong SQL skills and experience working with large datasets.
• Knowledge of data warehousing concepts and best practices.

Preferred Skills

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Exposure to modern data platforms like Databricks.
• Understanding of data governance and data quality frameworks.

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-Inspecting facilities periodically to determine problems and necessary maintenance

-Preparing weekly maintenance schedules and align with allocation of work.

-Inspect facilities periodically to determine problems and necessary maintenance

-Coordinate during maintenance installations, repairs or maintenance (electricians, plumbers etc.)

-Execute maintenance & repairs of work.

-Contribute to the development of maintenance budget and ensure compliance.

-Monitor inventory of materials and equipment.

-Timely reporting & daily update on slack & WhatsApp on necessary groups.

-Ensure adherence to quality standards and health and safety regulations

Responsibilities:

● Promote and sell our products to new and existing customers through effective sales techniques, presentations, and demonstrations.

● Build and maintain strong relationships with clients, understanding their business requirements, and providing solutions to meet their needs.

● Achieve sales targets and objectives by proactively prospecting and closing sales deals.

● Collaborate with the other GTM teams to develop and implement sales strategies, including pricing, discounts, and promotions, to drive revenue growth.

● Keep abreast of product knowledge, industry trends, and competitors to effectively communicate value propositions and differentiate our offerings.

● Prepare and deliver sales proposals, quotes, and contracts, ensuring accuracy and timely follow-up to secure customer commitment.

● Provide regular reports and updates on sales activities, including pipeline status, sales forecasts, and customer feedback.

● Attend industry events, trade shows, and conferences to network with potential clients and promote our products or services.

● Collaborate with the customer service team to address customer inquiries, resolve issues, and ensure high customer satisfaction.

Job Description:

1) Good experience in Java

2) Hands-on experience in Spring boot

3) Hands-on experience in Microservices

About the Role

Initiate and drive technical decisions on a multi-functional, Agile team alongside product management, product design, and engineering

Work closely with product to translate abstract business and product requirements into crisp technical specifications along with a delivery roadmap

Resolve blockers and help the team stay productive

Perform code and design reviews

Take part in building the team and iterating on hiring processes

Must have Requirements for the Role

8+ years of experience in a highly technical role at hyper-growth startup or fast-paced company and 2+ years of experience leading a team

Production level experience with Node.js or Go mandatory.

Experience building highly available and performant applications in any major programming language (e.g. Node.js, Go, Javascript)

In-depth knowledge and experience working with major cloud platform (e.g. AWS (must have experience))

Experience leading product teams

You are a good communicator who can explain technical concepts to product managers, designers, support and other engineers

Demonstrated ability to work well with others in a team environment and with geographically distributed teamsIn-depth knowledge of database and web security

How We Define Success:

Ensure the projects are delivered within reasonable timelines that meet the acceptance criteria set by the stakeholders

Ensure technical debt is being measured and tackled

Ensure the non-functional requirements are being taken into account while delivering features: performance, security and testing

Nice To Have, but Not Required:

Good understanding of GCP, AzureWorked in a early-stage startup environmentGood understanding of micro services

Role of a Quantitative Trader

Role and Responsibilities:

*Candidate is expected to have a rigorous quantitative aptitude and go-get attitude.

*Candidate will be monitoring closely quantitative models in Derivatives markets and manage the Risk of its open Positions

Requirements:

Education (Candidate should satisfy one of the following)

 B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades

 B.Tech with good grades and strong quantitative aptitude

 CFA/FRM Level 1 cleared

 Any other degree with Financial Derivatives as a subject and through knowledge of Options Greeks (Portfolio Level, Risk Management, Hedging)

Preferences:

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

 Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)

 MATLAB/R for Time series analysis

 Knowledge of AFL ( Amibroker Formula Language)

Benefits and Advantages for Candidate:

 Steep learning curve

 Extensive training on mathematics of derivatives market

 Dynamic work environment.

 Merit based growth

 Quarterly bonuses Based on Performance post training period (where bonus can surpass the base salary)

Pay Structure:

 Extensive training period(probation period) of 3 months(Stipend Paid during training period INR 20,000)

 Pay Structure post the training period:

Base Salary of 5 Lacs p.a  + Performance Bonuses

Working Hours:

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks.

 Standard Market Hours : 8:45 – 5.00 p.m

 Training Pre and Post market hours