Job Title: Data Modeler
Location: Chennai
Experience: 8 - 10 Years
Primary Skills: data migration,data lake,SQL,AWS,AZURE,Data Modeling
Secondary Skills:
work from office only
Domain Experience: Banking
Job Summary
As a Data Modeler, you will be responsible for
designing, implementing, and optimizing data models that support the organization’s
information management and business intelligence needs. You will play a key
role in transforming data into meaningful insights by designing data models
that ensure efficient storage, retrieval, and integrity of data across various
platforms.
Key
Responsibilities
·
Design and develop data models to
support the organization’s data and business intelligence requirements.
·
Collaborate with data architects, data
engineers, and stakeholders to ensure data model alignment with business requirements.
·
Optimize and tune data models for
performance and scalability.
·
Ensure data accuracy, consistency, and
integrity by implementing data quality and governance standards.
·
Participate in data migration and
integration projects, ensuring seamless data flow across systems.
Qualifications
·
Bachelor’s or master’s degree in
computer science, Information Technology, or a related field.
Skills
Technical
Skills
·
Expertise in data modeling tools
(e.g., ERwin, Power Designer, SQL Developer Data Modeler).
·
Proficiency in SQL and database
management systems (e.g., Oracle, SQL Server, Snowflake).
·
Understanding of data warehousing and
ETL processes.
·
Familiarity with data governance and
data quality management tools and practices.
Soft
Skills
·
Strong analytical and problem-solving
skills.
·
Effective communication and
collaboration skills.
·
Attention to detail and commitment to
data accuracy.
Good to
Have
·
Experience with cloud platforms (e.g.,
AWS, Azure, GCP).
·
Knowledge of big data technologies
(e.g., Hadoop, Spark).
·
Exposure to machine learning and
advanced analytics.
Work
Experience
·
5+ years of experience in data
modeling, data architecture, or related roles.
Compensation & Benefits
· Competitive
salary and annual performance-based bonuses
· Comprehensive
health and optional Parental insurance.
· Retirement
savings plans and tax savings plan.
Key Performance Indicator (KPIs)
·
Accuracy and Efficiency of Data
Models.
·
Data Model Performance and Query
Optimization.
·
Compliance with Data Governance
Standards.
·
Time to Deliver Data Models for New
Requirements.
·
Stakeholder Satisfaction and
Collaboration Effectiveness.
Key Result Areas (KRAs):
·
Data Model Design: Develop accurate
and efficient data models that support business processes.
·
Data Quality: Ensure data models meet
high standards for data accuracy and quality.
·
Collaboration: Work effectively with
cross-functional teams to gather requirements and deliver solutions.
·
Performance Optimization: Continuously
improve data model performance for faster data retrieval.
·
Documentation and Compliance: Maintain
comprehensive documentation and adhere to data governance policies.
Contact: hr@bigtappanalytics.com