Data Scientist

Data Engineer – Databricks & AWS (7+ Years)

Location: Baner, Pune

Work Model:5 days from office

Required Skills

• 7+ years of experience in Data Engineering with strong expertise in Databricks, PySpark, Apache Spark, and SQL.
• Hands-on experience building scalable ETL/ELT pipelines and Data Lake/Lakehouse solutions using Delta Lake.
• Experience with AWS services including S3, Glue, Lambda, IAM, EMR, and Redshift.
• Strong knowledge of Apache Airflow, Git, CI/CD, data quality, performance tuning, and production support.
• Experience with Kafka/Spark Streaming and Banking, Financial Services, or Credit Bureau domains is preferred.

Roles & Responsibilities

• Designed and developed scalable data pipelines using Databricks, PySpark, and AWS to process large-scale credit bureau, customer, loan, and repayment datasets.
• Built ETL/ELT workflows and Delta Lake-based data models to support credit risk analytics, regulatory reporting, and customer profiling.
• Developed and orchestrated batch and near real-time data processing pipelines using Airflow, Kafka, and Spark, ensuring data quality and reliability.
• Optimized Spark workloads through performance tuning techniques, improving processing efficiency and reducing execution time.
• Collaborated with business stakeholders, data architects, and risk teams to deliver data solutions while supporting production environments and operational excellence.

NOTE: One technical round is mandatory to be taken F2F from Pune office.

TL;DR: Seeking a Growth Catalyst who is part GTM engineer, part brand creative — to design and own the PLG motion for both candidates and companies at Proof-of-Skill. This role is pivotal for our zero-to-one journey as we establish our founding team.

Proof-of-Skill is a verified hiring network where every candidate carries a proof stack (identity, experience, skill, education) and every match is earned, not gamed. our AI hiring agent Yoshi handles candidate intake, assessment, and coordination. organizations shortlist candidates based on Proof-of-Skill credentials — not resumes.

Qualifications and Skills:

• You have done B2B SaaS sales before. Plus points if you've done HR tech or marketplace sales before
• You can design the PLG flywheel for both sides of the network — candidates and companies — and execute it from scratch
• You are truth + insight seeking and can build a sharp understanding of the HR tech and hiring market
• You can automate outbound, nurture, and onboarding workflows using Clay, Apollo, n8n — no engineers required
• You can create content that performs — posts, short-form video, brand campaigns, founder-voice — and lead brand strategy end-to-end

If you've previously taken a SaaS product from zero to first 100 paying customers, that's a huge plus

Responsibilities:

• Design and own the PLG loop — figure out how candidates and companies pull each other into the network, then build the system that scales it
• Get the next 500 companies onto Proof-of-Skill
• Build and run outbound + inbound sequences; own pipeline from first touch to closed
• Create the collateral that makes a cold company say yes — one-pagers, case studies, demo flows, explainers
• Lead brand strategy — own the voice, aesthetic, and positioning across all channels
• Discover the right GTM fit via continuous + rapid iteration; kill what doesn't work, double what does

Ideal Candidate Traits:

• Systems thinker — every manual thing you do twice becomes an automation
• Sharp creative with a point of view on brand; can write a post and brief a designer and knows the difference
• Exceptional communication, storytelling, and presentation skills
• Ability to navigate complex sales cycles and negotiate contracts
• High agency is not a trait for you, it's a baseline — you find a way or you find a different way
• Entrepreneurial mindset is a must; if it's only on your resume, we'll know

Total Experience: Minimum 7 years, with recent experience in SaaS sales, with a track record of exceeding quotas.

SaaS Technology Sales Experience: At least 3 years of experience (recent) in a tech-driven B2B SaaS sales role.

Candidate should have Proven expertise in selling tech tools, integrations, and workflow automation solutions to enterprise customers.

Educational Qualification: B.Tech (CS/IT) preferred, or B.Tech (any stream) + MBA.

Startup Experience: Preferred but not mandatory.

Salary Hike Expectation: Maximum 20-30%.

Employment Gap: Candidates unemployed for more than 30 days will not be considered.

Job Stability: No more than two job changes in the last three years.

Notice Period: Should not exceed 30 days.

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

We are looking for a skilled and experienced Senior backend Developer specializing in FSE tools to join our team. In this role, you will be responsible for designing and implementing user interfaces that enhance our customer experience. Your contributions will play a critical role in driving the success of our projects by creating dynamic, intuitive, and responsive web applications.

Responsibilities:

Develop, maintain, and enhance web applications using front end tools to create seamless, user-friendly experiences.

Collaborate with cross-functional teams, including UX/UI designers, product managers, and backend developers, to deliver high-quality products.

Write clean, maintainable, and scalable code while adhering to best practices in frontend development.

Perform code reviews, optimize application performance, and debug issues for a smooth user experience.

Stay updated on the latest FSE features and web development trends to bring innovative ideas to the team.

Skills & Requirements

Java, Spring Framework / Spring Boot, APIs (e.g. REST, RESTful API), Unit testing (e.g JUnit, Mockito ), Build Tools (e.g. maven, gradle), CI/CD (e.g. Gitlab, GitHub, Jenkins, Bamboo, Azure DevOps), DEV Tools (e.g. Git, Atlassian Jira, Atlassian Confluence), Quality Tools (e.g. SonarQube, SonarCloud, Findbugs, PMD, OWASP checker, …), Spring Ecosystem (e.g. Spring Data, Spring REST, Spring MVC, Spring Batch, …), Java Commons (e.g. Apache Commons), Other APIs (e.g. SOAP, GraphQL, WebSocket, Server-Sent-Events / SSE, gRPC), API Documentation (e.g. OpenAPI, Swagger, …), Integration testing / E2E testing (e.g. Selenium, Testcontainers, Cucumber), Containerisation (e.g. Docker, Kubernetes / K18n), Cloud experience (e.g. AWS, Azure, GCP).Java Enterprise / Java EE (e.g. EJB, CDI, JPA, JSF, JAX-RS, JAX-WS, JMS), Other Java Frameworks (e.g. Quarkus), Messaging (e.g. Kafka, RabbitMQ, ActiveMQ, …), NoSQL DB (e.g. MongoDB, Neo4j), Performance testing (e.g. Gatling), Single-Sign-On (e.g. OAuth2, Open ID Connect, JWT, SAML), Monitoring, Logging & Tracing in the frontend application, Experience with Linux operating systems, Shell-Scripting.

LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

As the technical lead, you will oversee the company's technical team and all projects they undertake, analyze briefs, write progress reports, identify risks, and develop work schedules. You should be able to work with your team and inspire them to reach their goals.

To be successful as a technical lead, you should always be expanding your industry knowledge and be able to quickly identify problems. Outstanding technical leads are accountable, trustworthy, and able to build lasting relationships with their teams.

Responsibilities:

• Determining project requirements and developing work schedules for the team.
• Delegating tasks and achieving daily, weekly, and monthly goals.
• Liaising with team members, management, and clients to ensure projects are completed to standard.
• Identifying risks and forming contingency plans as soon as possible.
• Analyzing existing operations and scheduling training sessions and meetings to discuss improvements.
• Keeping up-to-date with industry trends and developments.
• Updating work schedules and performing troubleshooting as required.
• Motivating staff and creating a space where they can ask questions and voice their concerns.
• Being transparent with the team about challenges, failures, and successes.
• Writing progress reports and delivering presentations to the relevant stakeholders.

Requirements:

• Bachelor's/Master's degree in computer science, engineering, or a related field.
• A 3-4 years of experience in a similar role would be advantageous.
• In-depth experience in working with Reactjs and Go.
• Excellent technical, diagnostic, and troubleshooting skills.
• Experience with blockchain technology preferable.
• Strong leadership and organizational abilities.

• Getting candidate registered on tool
• To release bulk offers within TAT.
• Close salary discussions with selected candidates.
• Ensure timely onboarding.
• Submission of back papers.
• Keep checking on BGC clearance and getting insuff cleared if any.
• Work From Office