Job Description
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Responsibilities
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Qualifications
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*Senior Data Modeller*
Position: Senior Data Modeller (Databricks / Data Engineering)
Location: Jaipur
Experience: 5–10 Years
Employment Type: Contract – 6 Weeks Only
Rate: 2 LPM
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We have an urgent requirement for *Senior Data Modeller* (Databricks / Data Engineering) share more relevant profiles Now.. Kindly share only relevant immediate joiner profiles matching the below criteria.
_*About the Role*_
We are looking for a highly skilled Data Modeller with strong expertise in Databricks and modern data engineering practices. The candidate will be responsible for designing scalable data models, implementing dimensional modeling techniques, and building efficient data pipelines using the Medallion architecture.
_*Key Responsibilities*_
Design and implement scalable data models (Star Schema / Snowflake Schema)
Build and manage dimension and fact tables with SCD Type 1 & Type 2 handling
Develop and optimize data pipelines using Databricks (PySpark / SQL)
Implement Medallion Architecture (Bronze, Silver, Gold layers)
Perform data cleansing, transformation, and standardization
Optimize Delta Lake tables using partitioning, Z-Order, and performance tuning
Collaborate with business and analytics teams to understand data requirements
Ensure data quality, governance, and lineage tracking
Work on large-scale structured and semi-structured datasets
_*Required Skills*_
Strong experience in Data Modeling (Dimensional Modeling, Data Warehousing concepts)
Hands-on experience with Databricks (Delta Lake, Unity Catalog)
Strong SQL and PySpark skills
Experience in implementing SCD Type 2 using MERGE operations
Knowledge of Medallion architecture (Bronze/Silver/Gold)
Understanding of data partitioning and performance optimization
Experience with handling large-scale datasets
_*Good to Have*_
Experience with Azure (ADF, ADLS, Synapse)
Knowledge of CDC (Change Data Capture) pipelines
Exposure to API-based data ingestion
Experience In Education / Government Domain (preferred)
What We Are Looking For
Strong problem-solving and analytical thinking
Ability to design reusable and scalable data models
Hands-on approach (not just theoretical knowledge)
Experience working in fast-paced data engineering environments
e are Skills, Education, Experience, or Certifications.]
Example: Excellent verbal and written communication skills
Skills: data,sen,data models,data engineering
