Working closely with the Product group and other teams, the Data Engineer is responsible for the development, deployment and maintenance of our data infrastructure and applications. With a focus on quality, error-free data delivery, the Data Engineer works to ensure our data is appropriately available and fully supporting various constituencies across our organization. This is a multifaceted opportunity to work with a small, talented team on impactful projects that are essential to ACUE’s higher education success. As an early member of our tech group, you’ll have the unique opportunity to build critical systems and features while helping shape the direction of the team and the product.

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Position Summary:
As a CRM ETL Developer, you will be responsible for the analysis, transformation, and integration of data from legacy and external systems into CRM application. This includes developing ETL/ELT workflows, ensuring data quality through cleansing and survivorship rules, and supporting daily production loads. You will work in an Agile environment and play a vital role in building scalable, high-quality data integration solutions.
Key Responsibilities:
- Analyze data from legacy and external systems; develop ETL/ELT pipelines to ingest and process data.
- Cleanse, transform, and apply survivorship rules before loading into the CRM platform.
- Monitor, support, and troubleshoot production data loads (Tier 1 & Tier 2 support).
- Contribute to solution design, development, integration, and scaling of new/existing systems.
- Promote and implement best practices in data integration, performance tuning, and Agile development.
- Lead or support design reviews, technical documentation, and mentoring of junior developers.
- Collaborate with business analysts, QA, and cross-functional teams to resolve defects and clarify requirements.
- Deliver working solutions via quick POCs or prototypes for business scenarios.
Technical Skills:
- ETL/ELT Tools: 5+ years of hands-on experience in ETL processes using Siebel EIM.
- Programming & Databases: Strong SQL & PL/SQL development; experience with Oracle and/or SQL Server.
- Data Integration: Proven experience in integrating disparate data systems.
- Data Modelling: Good understanding of relational, dimensional modelling, and data warehousing concepts.
- Performance Tuning: Skilled in application and SQL query performance optimization.
- CRM Systems: Familiarity with Siebel CRM, Siebel Data Model, and Oracle SOA Suite is a plus.
- DevOps & Agile: Strong knowledge of DevOps pipelines and Agile methodologies.
- Documentation: Ability to write clear technical design documents and test cases.
Soft Skills & Attributes:
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal abilities.
- Experience working with cross-functional, globally distributed teams.
- Proactive mindset and eagerness to learn new technologies.
- Detail-oriented with a focus on reliability and accuracy.
Preferred Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- Experience in Tier 1 & Tier 2 application support roles.
- Exposure to real-time data integration systems is an advantage.
Senior Data Engineer (Databricks, BigQuery, Snowflake)
Experience: 8+ Years in Data Engineering
Location: Remote | Onsite (Noida, Gurgaon, Pune, Nagpur, Jaipur, Gandhinagar)
Budget: Open / Competitive
Job Summary:
We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions that support advanced analytics and machine learning initiatives. You will lead the development of reliable, high-performance data systems and collaborate closely with data scientists to enable data-driven decision-making.
In this role, we expect a forward-thinking professional who utilizes AI-augmented development tools (such as Cursor, Windsurf, or GitHub Copilot) to increase engineering velocity and maintain high code standards in a modern enterprise environment.
Key Responsibilities:
- Scalable Pipelines: Design, develop, and optimize end-to-end data pipelines using SQL, Python, and PySpark.
- ETL/ELT Workflows: Build and maintain workflows to transform raw data into structured, analytics-ready datasets.
- ML Integration: Partner with data scientists to deploy and integrate machine learning models into production environments.
- Cloud Infrastructure: Manage and scale data infrastructure within AWS and Azure ecosystems.
- Data Warehousing: Utilize Databricks and Snowflake for big data processing and enterprise warehousing.
- Automation & IaC: Implement workflow orchestration using Apache Airflow and manage infrastructure as code via Terraform.
- Performance Tuning: Optimize data storage, retrieval, and system performance across data warehouse platforms.
- Governance & Compliance: Ensure data quality and security using tools like Unity Catalog or Hive Metastore.
- AI-Augmented Development: Integrate AI tools and LLM APIs into data pipelines and use AI IDEs to streamline debugging and documentation.
Technical Requirements:
- Experience: 8+ years of core Data Engineering experience in large-scale enterprise or consulting environments.
- Languages: Expert proficiency in SQL and Python for complex data processing.
- Big Data: Hands-on experience with PySpark and large-scale distributed computing.
- Architecture: Strong understanding of ETL frameworks, data pipeline architecture, and data warehousing best practices.
- Cloud Platforms: Deep working knowledge of AWS and Azure.
- Modern Tooling: Proven experience with Databricks, Snowflake, and Apache Airflow.
- Infrastructure: Experience with Terraform or similar IaC tools for scalable deployments.
- AI Competency: Proficiency in using AI IDEs (Cursor/Windsurf) and integrating AI/ML models into production data flows.
Preferred Qualifications:
- Exposure to data governance and cataloging tools (e.g., Unity Catalog).
- Knowledge of performance tuning for massive-scale big data systems.
- Familiarity with real-time data processing frameworks.
- Experience in digital transformation and sustainability-focused data projects.
Company: - Re / Max Realty – Real Estate Company
We are Hiring – Real Estate Broker Agent
Project Focus: Farmhouses | Villas | Plots | Commercial Spaces
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If you have a passion for real estate, strong networking skills, and the drive to close deals, we want you on our team!
What We Offer:
High-commission structure
Premium projects in top locations
Growth & long-term association
Who Can Apply?
Freelancers specially working with us
Self-driven individuals with good communication skills
Prior real estate experience preferred (but not mandatory)
Join us and grow with one of the fastest-growing real estate firms.
Salary: upto 10LPA
Experience: 4+ years
Mandatory Skill- Winforms
No relocation cases
Key Responsibilities:
Design, develop, and maintain WinForms applications.
Knowledge of .NET languages including C#, & Winforms is Mandatory.
Collaborate with cross-functional teams to define, design, and implement new
features.
Write clean, scalable, and efficient code using C# and ASP.NET.
Develop and maintain SQL Server databases, including writing complex
queries and stored procedures.
Troubleshoot, debug, and optimize existing applications.
Participate in code reviews and contribute to team knowledge sharing.
Ensure application security, performance, and reliability.
Job description:
Full Stack Asp.net developer essential knowledge in:
1) Asp.net MVC with C#.net, Asp.net Webforms added advantage,
2) Sql Server 2014 or above with strong hold on joins, stored procedures and handling larger database tables
3) Javascript/Jquery with skills on html and css.
4) Making and consuming RESTful web apis through Asp.net MVC application and jquery.
5) IIS management knowledge is the added advantage.
6) Loyalty Domain experience or knowledge is added advantage.
(OR)
7) Travel Domain experience or knowledge is added advantage.
❖ mentorship, HLD, Problem Solving.
US A INDI A C ANADA PHI L I P P INE S Z YV K A . CO M
Skill-Sets Required:
❖ 6+ years of experience in building large scale applications or
products.
❖ A “Bring It on” attitude; bias for action; self-driven, end-toend ownership; entrepreneurial
❖ approach; focus on operational excellence; ability to work with
ambiguity.
❖ Strong in problem solving skills, data structures and
algorithms.
❖ Very good understanding of one or more of RDBMS/NoSQL/
Messaging/ Caching technologies.
❖ Excellent understanding of and coding skills in following technologies: Java
❖ B Tech/BE in Computer Science or equivalent from a reputed institution.
RESPONSIBILITES:
As a Lead Backend Developer, candidate will work very closely with the Tech
Leadership and lead end-to-end development. We’re looking for people who can
❖ Write maintainable/scalable/efficient code.
❖ Design and architect technical solutions for the business problems of a very
large e-commerce portal.
❖ Work in cross-functional team, collaborating with peers during entire SDLC.
❖ Follow coding standards, unit-testing, code reviews etc
❖ Follow release cycles and commitment to deadlines
Strong experience in social media recruitment, catering to a good number of profiles from, Social media (LinkedIn, Twitter, Facebook).
Good experience in X-Ray searches has been able to source good profiles using the same.
Highly efficient and effective at creating strings and searches using all Boolean operators.
Thorough knowledge of sourcing using different job portals, networking sites, Google search, Boolean Search, LinkedIn Search (Advanced), and
using complex Syntax for mentioned.
Lead coordination of candidates. Have grass-root exposure to headhunting for across verticals, complex and simple feasible searches.
Managing end-to-end recruitment life cycle process. Developing a search strategy to locate suitable candidates.
Sourcing the right kind of profiles through an internal database, headhunting, job portals, and networking as per job specifications given.
Validating, Screening and short listing of Candidates. Conducting first-level interviews (Telephonic) to check communication skills, technical skills,
interest level, availability, salary, and everything possible. Validating, Screening, and short listing of Candidates.
Arranging and coordinating both Telephonic and in-person interviews for the shortlisted, candidates.
Negotiating salary. Assisting in smooth transition: Documentation and Joining.
culture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.









