Engineering Manager

🔔 Hiring: Team Leaders – SBI Insurance Sales (6 Openings)

📍 Location: Thane

💼 Job Role: Team Leader – Insurance Sales (SBI Process)

💰 Salary: ₹25,000 – ₹30,000 (In-hand)

🎓 Qualification: HSC / Graduate

🕒 Experience Required:

Minimum 6 months to 1 year experience as Team Leader (on paper mandatory)

Insurance sales background is compulsory

Experience in Life / Health Insurance sales preferred

🛠 Roles & Responsibilities:

Handle and manage a team of insurance sales executives

Drive daily, weekly, and monthly sales targets

Monitor team performance and productivity

Guide team members on pitch, objection handling, and closures

Ensure quality sales and process compliance

Prepare daily MIS and performance reports

Support training and onboarding of new joiners

🧠 Relevant Skills:

Insurance Sales (Life / Health)

Team Handling & Leadership

Tele Sales / Inside Sales

Target Achievement

Communication & Negotiation Skills

BFSI Process Knowledge

CRM & MIS Handling

⏰ Shift & Joining:

Day shift

Immediate joiners preferred

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

•Hands on experience in Object oriented programming

•Hands on experience in Java, SpringBoot (min 2 years) or kafka or Cassandra or MongoDB

•Experience with developing/enhancing applications connecting to different Databases : Oracle/MySQL/Cassandra/MongoDB

•Strong knowledge of common Data structures and algorithms and when to use them.

•Experience in Xpath or XML or REST or JSON or protobuff

• Experience with software version control (such as git)

•Experience in working in an agile environment such as Scrum.

Preferable:

•Experience in public cloud PaaS (AWS, GCP, Azure)

•Real time stream data handling (Kafka, Kinesis

ob Description:

We are looking for Tech geeks having hands-on experience and in love with building scalable, distributed and large web/mobile products and tech solutions. He/She must be an excellent problem solver with passion to self-learn and implement web technologies (frontend + backend). He/She would be responsible for the architecture design, code review, and technology build and deployment activities of the product. 

    Responsibilities:-

• Own the product development from scratch.
• Architect scalable, distributed and large-scale web and mobile solutions from scratch.
• Code for fresh development and to troubleshoot and resolve issues.
• Writing reusable, testable, and efficient code.
• Creating database schemas that represent and support business processes.
• Design and implementation of low-latency, high-availability, and performant applications.
• Able to learn & implement new technology/framework/library at God Speed.
• Customer-focused, react well to changes, work with teams and be able to multitask.
• Experience and knowledge of open-source tools and frameworks, broader cutting edge technologies around server side development. 

   Desired Candidate Profile:-

• A Bachelor's degree in Computer Science or related field(or combined with related experience)
• Strong Expertise in Node.js/Javascript
• Hands-on experience in writing Node.js applications
• Deep knowledge of Restful APIs, Web Services, command-line programs and solid design principles.
• Knowledge of Node.js and frameworks like Express.js,Sails.js,StrongLoop, Meteor,Loopback.js, etc
• Knowledge of SQL and NoSQL database(MongoDB)
• Knowledge of tools like Docker, Git, Postman, JSdocs, etc.
• Well versed with front-end technologies - HTML5, and CSS3, AWS, GCP, Azure, Good hold on CLI command, OS
• Proficiency in multiple programming languages, both dynamic(Javascript, Python, Ruby, etc.) and strongly typed object-oriented language.
• Implementing automated testing platforms and unit tests.
• Must be a proven performer and team player that enjoys challenging assignments in a high energy, fast growing and start-up workplace.
• Good communication and interpersonal skills.

VMware Horizon / View, VMware vSphere, NSX • Azure Cloud VDI/AVD – Azure Virtual Desktop • VMware Virtualization • Hyper converged Infrastructure, VSAN, Storage devices SAN/NAS etc.

Roles and Responsibilities

• Designing, implementing, testing and deployment of the virtual desktop infrastructure
• Facilitating the transition of the VDI solution to Operations, providing operational and end user support when required.
• Acting as the single point of contact for all technical engagements on the VDI infrastructure.
• Creation of documented standard processes and procedures for all aspects of VDI infrastructure, administration and management.
• Working with the vendor in assessing the VDI infrastructure architecture from a deployment, performance, security and compliance perspective.

 Knowledge around security best practices and understanding of vulnerability assessments.

• Providing mentoring and guidance to other VDI Administrators.

• Document designs, development plans, operations procedures for the VDI solution.

   

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

Strong proficiency with one of the Vue.js, Angular JS, React JS JavaScript Techologies
2. Knowledge of Node.js and frameworks available for it , such as Express JS, Strong Loop, etc
3. Understanding the nature of asynchronous programming and Promises and its quirks and workarounds
4. Good understanding of server-side templating languages (such as Jade, EJS, etc depending on your technology stack)
5. Good understanding of server-side CSS pre-processors such as Styles, Less
6. Basic understanding of front-end technologies, such as HTML5, CSS3, and Bootstrap
7. Understanding accessibility and security compliance
8. User authentication and authorization between multiple systems(Internal or Third party), servers, and environments
9. Integration of multiple data sources and databases into one system
10. Understanding fundamental design principles behind a scalable application
11. Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
12. Implementing automated testing platforms and unit tests
13. Proficient in code versioning tools, such as Git or TFS

What you need to have:

1. Prospecting for new clients/ lead generation

2. Direct communication with customers via e‐mail and telephone to promote Bit plane and its product range

3. Execute marketing plan/marketing campaigns (e.g. targeted e‐shot, mail shot)

4. Follow up and qualify contacts from web registrations, promotions, events and other marketing and sales activities

5. Preparation and presentation of results from campaigns

6. Organizing visits for Bit plane Regional Sales Engineers when required

7. Recording of all sales activities in the CRM

8. Market research feedback

9. Any other duties as may be reasonably requested from time to time by your Line Manager