3 Database Management jobs in Indore
Tech Lead - Data Modeling Job
Posted today
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Job Description
Job Summary
:We are looking for a seasoned Data Modeler with 8–10 years of experience in enterprise data modelling, Source-to-Target (ST) mapping, and data profiling. The ideal candidate will be responsible for designing scalable data models, ensuring data quality, and collaborating across teams to support business intelligence and analytics initiatives.
Key Responsibilities:
· Develop and maintain conceptual, logical, and physical data models.
· Perform Source-to-Target (ST) mapping for data integration and transformation.
· Conduct data profiling to evaluate data quality, completeness, and consistency.
· Collaborate with stakeholders to gather requirements and translate them into data models.
· Ensure alignment with enterprise architecture and data governance standards.
· Document metadata, data lineage, and transformation logic.
· Support ETL/ELT teams with data mapping and modeling guidance.
· Participate in data quality initiatives and resolve data-related issues.
Technical Skills Required:
· 8–10 years of experience in data modeling, data architecture, or related roles.
· Expertise in ST mapping and data profiling.
· Strong SQL skills and understanding of relational and dimensional modeling.
· Preferred experience with cloud data platforms such as Snowflake.
· Familiarity with ETL/ELT processes, data integration, and data warehousing.
Soft Skills Required:
· Analytical Thinking: Ability to interpret complex data requirements and translate them into effective models.
· Communication Skills: Strong verbal and written communication to interact with technical and non-technical stakeholders.
· Collaboration: Proven ability to work cross-functionally with business analysts, engineers, and leadership.
· Problem Solving: Aptitude for identifying data issues and proposing scalable solutions.
· Attention to Detail: Precision in data mapping, profiling, and documentation.
· Adaptability: Comfortable working in fast-paced environments with evolving priorities.
Required Technical/ Functional Competencies
Domain/ Industry Knowledge:
Requirement Gathering and Analysis:
Product/ Technology Knowledge:
Architecture tools and frameworks:
Architecture concepts and principles:
Analytics Solution Design:
Tools & Platform Knowledge:
Required Behavioral Competencies
Accountability:
Collaboration:
Agility:
Customer Focus:
Communication:
Drives Results:
Resolves Conflict:
Certifications
Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principlesTechnical Architect - Data Modeling Job
Posted today
Job Viewed
Job Description
Job Description
Required Technical/ Functional Competencies
Domain/ Industry Knowledge:
Requirement Gathering and Analysis:
Product/ Technology Knowledge:
Architecture tools and frameworks:
Architecture concepts and principles :
Analytics Solution Design:
Tools & Platform Knowledge:
Required Behavioral Competencies
Accountability:
Collaboration:
Agility:
Customer Focus:
Communication:
Drives Results:
Resolves Conflict:
Certifications
Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principlesSenior Data Scientist (Advanced Modeling & Machine Learning)
Posted 16 days ago
Job Viewed
Job Description
Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)
Location: Remote
Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.
Job Type: Full-time
About the role
We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.
Responsibilities
- Responsible for analyzing the data, identifying patterns, and do a detailed EDA.
- Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
- Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
- Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
- Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
- Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
- Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects
Required Qualifications
- Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
- 4–6 years of industry experience in data science or machine learning roles.
- Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
- Hands-on knowledge of:
> Programming languages : Python (primary), SQL, R (optional)
> Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers
> Distributed computing : PySpark, Dask
> Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML
> Data Engineering Tools : Apache Spark, Delta Lake, Airflow
> ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib
> Version control and collaboration : Git, GitHub, Jupyter, VSCode
Preferred Qualifications
- Masters or Ph.D. in a quantitative or technical field.
- Experience with deploying machine learning pipelines in production using CI/CD tools.
- Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
- Understanding of MLOps and model lifecycle management best practices.
- Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.
What We Offer
- Competitive salary and performance bonuses
- Flexible working hours and remote options
- Opportunities for continued learning and research
- Collaborative, high-impact team environment
- Access to cutting-edge technology and compute resources
To apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.
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