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Technical Consultant-Data Modeler
Bengaluru, Karnataka, India
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign standard and benchmark data models using Medallion Architecture
Build data marts across all Titan businesses with high data quality
Create conceptual, logical and physical models with ER tools
Tune SQL performance and write stored procedures
From the employer’s posting
responsible for the design and creation of standard and benchmark data models using Layered Scalable Architecture principles / Medallion Architecture
to deliver the Data Marts across all Businesses of Titan with highest data quality
extensive knowledge on Conceptual, Logical and Physical Models
Advanced SQL store procedures, performance tuning
What you’ll bring
All qualificationsCore experience
- Advanced SQL and RDBMS skills
- AWS stack experience (Redshift, S3, Lambda, RDS, Glue)
- ER modelling with ERWin or ERStudio, forward and reverse engineering
- At least 3 projects in Retail, Merchandising, Manufacturing, HR or Finance
- Working knowledge of at least one ETL tool
Qualification wording
strong hands on experience in SQL/advanced SQL
expertise in AWS stack (RedShift, S3, Lambda APIs, RDS, Glue, Q)
ER Modelling using tools such as ERWin/ ERStudio – Forward & Reverse Engineering
Minimum 3 projects implementation experience in Retail/Merchandizing/Manufacturing/HR/Finance domains
Good Knowledge on ETL tools (min 1 tool)
Tools in this posting
- Python
- SQL
- AWS
- Redshift
- S3
- SAP
- Tableau
Source — Tool mentions in context
This includes complexities like several decades of Business Data, external data, high volume, complex structure, Performance & Costs. Should have expertise in AWS stack (RedShift, S3, Lambda APIs, RDS, Glue, Q), DevOps, RDBMS concepts, data warehousing, modelling, agile concepts, Python, Awareness in AI / ML, Gen AI, NLP and have strong hands on experience in SQL/advanced SQL and polyglot programming. Should have good understanding of Reporting Tools such as Tableau / Power-BI / AWS Quicksight Should have exposure to Data Governance Mechanisms to ensure highest data quality and self-service capabilities to end users Should have experience in Agile Methodology of delivery
Should have good understanding of Reporting Tools such as Tableau / Power-BI / AWS Quicksight Should have exposure to Data Governance Mechanisms to ensure highest data quality and self-service capabilities to end users Should have experience in Agile Methodology of delivery Work Experience Strong Technical knowledge of SQL (Advanced SQL store procedures, performance tuning), Data Warehousing, Data Modelling and RDBMS ❖ ER Modelling using tools such as ERWin/ ERStudio – Forward & Reverse Engineering should have worked on modelling tools and extensive knowledge on Conceptual, Logical and Physical Models
Should have expertise in AWS stack (RedShift, S3, Lambda APIs, RDS, Glue, Q), DevOps, RDBMS concepts, data warehousing, modelling, agile concepts, Python, Awareness in AI / ML, Gen AI, NLP and have strong hands on experience in SQL/advanced SQL and polyglot programming. Should have good understanding of Reporting Tools such as Tableau / Power-BI / AWS Quicksight Should have exposure to Data Governance Mechanisms to ensure highest data quality and self-service capabilities to end users Should have experience in Agile Methodology of delivery Work Experience Strong Technical knowledge of SQL (Advanced SQL store procedures, performance tuning), Data Warehousing, Data Modelling and RDBMS
❖ Minimum 3 projects implementation experience in Retail/Merchandizing/Manufacturing/HR/Finance domains ❖ Good Knowledge on ETL tools (min 1 tool) preferably SAP Data Services/IBM Data Stage/AWS Glue ❖ Good process knowledge of minimum one Domain Experience in Leading Projects in agile framework – at least 1 medium to complex project
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 2026today
- Recorded sightings
- 1
- Employer says posted
- Nov 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Titan is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
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Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Requirements
Work Experience
Data Modeler in the Data Architecture domain responsible for the design and creation of standard and benchmark data models using Layered Scalable Architecture principles / Medallion Architecture to deliver the Data Marts across all Businesses of Titan with highest data quality.
This includes complexities like several decades of Business Data, external data, high volume, complex structure, Performance & Costs.
Should have expertise in AWS stack (RedShift, S3, Lambda APIs, RDS, Glue, Q), DevOps, RDBMS concepts, data warehousing, modelling, agile concepts, Python, Awareness in AI / ML, Gen AI, NLP and have strong hands on experience in SQL/advanced SQL and polyglot programming.
Should have good understanding of Reporting Tools such as Tableau / Power-BI / AWS Quicksight Should have exposure to Data Governance Mechanisms to ensure highest data quality and self-service capabilities to end users Should have experience in Agile Methodology of delivery
Work Experience
Strong Technical knowledge of SQL (Advanced SQL store procedures, performance tuning), Data Warehousing, Data Modelling and RDBMS
❖ ER Modelling using tools such as ERWin/ ERStudio – Forward & Reverse Engineering should have worked on modelling tools and extensive knowledge on Conceptual, Logical and Physical Models
❖ Should have independently managed customers and projects
❖ Minimum 3 projects implementation experience in Retail/Merchandizing/Manufacturing/HR/Finance domains
❖ Good Knowledge on ETL tools (min 1 tool) preferably SAP Data Services/IBM Data Stage/AWS Glue
❖ Good process knowledge of minimum one Domain Experience in Leading Projects in agile framework – at least 1 medium to complex project
❖ Good Managerial Skills & Communication & Interpersonal skills
❖ Excellent Analytical skills - Problem solving/troubleshooting
❖ Excellent Team player
❖ Experience in implementation of SF Customer Data Cloud would be an added advantage
❖ Good to have – Statistical data modelling / Predictive modelling skills
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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