DataPower

• 2+ years experience working with Oracle Commerce Cloud application
• 4-6 years of overall experience in web application.

• Extensive knowledge of Oracle Commerce Cloud
• Excellent knowledge of server-side JAVA for enterprise level applications (J2EE)
• Experience in Javascript (Knockout preferred), Bootstrap, JQUERY, node.js, HTML 5, CSS
• Proficiency in SQL Server, MySQL, and relational data models in context of web integration
• Proficiency with web services (WCF, Web API, SOAP, REST, SOA)
• Excellent Communication Skills

•  Understanding of Oracle cloud technologies including technical
• Experience in working in an Agile environment

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

Role & responsibilities:

1. Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs.
2. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems.
3. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets.
4. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models.
5. Design and optimize AI prompts for content generation, customer support, and business analytics.
6. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration.
7. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements.
8. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage.

Preferred candidate profile:

• Bachelors/Masters in Computer Science, AI/ML, or related field.
• Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn.
• Hands-on experience with LLMs, prompt engineering, and model fine-tuning.
• Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer).
• Experience in workflow automation tools (e.g., Crew AI, LangChain).
• Knowledge of REST APIs, microservices, and containerization.
• Analytical mindset with a focus on process improvement.

Perks and benefits:

• Competitive Salary and Professional development opportunities and training.
• Opportunity to work with cutting-edge technologies in a fast-paced environment.
• Collaborative and supportive work environment.

Looking for freelance?

We are seeking a freelance Data Engineer with 7+ years of experience

Skills Required: Deep knowledge in any cloud (AWS, Azure , Google cloud), Data bricks, Data lakes, Data Ware housing Python/Scala , SQL, BI, and other analytics systems

What we are looking for

We are seeking an experienced Senior Data Engineer with experience in architecture, design, and development of highly scalable data integration and data engineering processes

• The Senior Consultant must have a strong understanding and experience with data & analytics solution architecture, including data warehousing, data lakes, ETL/ELT workload patterns, and related BI & analytics systems
• Strong in scripting languages like Python, Scala
• 5+ years of hands-on experience with one or more of these data integration/ETL tools.
• Experience building on-prem data warehousing solutions.
• Experience with designing and developing ETLs, Data Marts, Star Schema
• Designing a data warehouse solution using Synapse or Azure SQL DB
• Experience building pipelines using Synapse or Azure Data Factory to ingest data from various sources
• Understanding of integration run times available in Azure.
• Advanced working SQL knowledge and experience working with relational databases, and queries. authoring (SQL) as well as working familiarity with a variety of database

Join our team

We're looking for an experienced and passionate Data Engineer to join our team. Our vision is to empower Genesys to leverage data to drive better customer and business outcomes. Our batch and streaming solutions turn vast amounts of data into useful insights. If you’re interested in working with the latest big data technologies, using industry leading BI analytics and visualization tools, and bringing the power of data to our customers’ fingertips then this position is for you!

Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.

What you'll get to do

• Work in an agile development environment, constantly shipping and iterating.
• Develop high quality batch and streaming big data pipelines.
• Interface with our Data Consumers, gathering requirements, and delivering complete data solutions.
• Own the design, development, and maintenance of datasets that drive key business decisions.
• Support, monitor and maintain the data models
• Adopt and define the standards and best practices in data engineering including data integrity, performance optimization, validation, reliability, and documentation.
• Keep up-to-date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using cloud services.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Your experience should include

• Bachelor’s degree in CS or related technical field.
• 5+ years of experience in data modelling, data development, and data warehousing.
• Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
• Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
• Experience in programming using Python, Java or Scala.
• Experience with data orchestration tools (Airflow, Oozie, Step Functions).
• Solid understanding of database technologies including NoSQL and SQL.
• Strong in SQL queries (experience with Snowflake Cloud Datawarehouse is a plus)
• Work experience in Talend is a plus
• Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
• Strong organizational and multitasking skills with ability to balance competing priorities.
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
• An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.

Good to have

• Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue

We are looking for candidates who are comfortable with -

• P&L preparation
• MIS Reporting
• GST and Taxation
• Income Tax
• Vendor Management
• Reconciliation
• Journal Entries
• Invoicing
• Should be comfortable with Tally ERP and Advanced Excel

Requirements:

• B Com or M Com with a specialisation in Accounting

Role Description - 

- Workindia is a 100% Product Company [Not Product-Enabled]. With PMF Stage completed 2 years ago, Company has seen rapid scale to become the largest Blue Gray Collar Recruitment Company in India today.

- With scale, Company focuses on one, expansion of existing business initiatives and two, addition of new business initiatives on an ongoing basis. 

- Role of the candidate is to head the digital marketing Team

Eligibility - 

1. Academic background: Engineering Only. Non-Engineers are not eligible to apply for this role. 

2. Work Experience: Minimum 4 years of experience required. 

3. Candidate should have good analytical skills, effective leadership and communication skills. 

4. Candidate should have experience in using marketing data tools and marketing analytics. 

5. Candidate Should have been involved in deciding team size, team structure, have experience of budget allocation to the various marketing channels, independent thinking on strategy vs. only execution.

Just to inform you; the company has excellent work environment and work culture.

Qualifications - 

BE / B tech/ MBA only requested to apply. Good institutes will be given preference.

If interested, kindly share your updated CV along with the following details:

1. Total experience:

2. Current CTC

3. Expected CTC 

4. Notice Period

5. Contact Number:

6. Email ID

7. Qualification:

Contact Person:

Shubha Gupta
HR Manager