We are seeking a highly skilled Sr. Data Modeler / Data Engineer (Lead Level) with deep expertise in SQL, Python, and modern cloud data platforms, particularly Snowflake. The ideal candidate will excel at transforming complex, fragmented datasets into high quality analytical models that support business reporting and decision making.
Key Responsibilities
Analytical Data Modelling: Design and build clean, high performance data models by transforming raw and unstructured data from MongoDB and PostgreSQL into optimized, analytics ready tables.
Data Engineering & Development: Work extensively with SQL, Python, Snowflake, dbt, MongoDB, and PostgreSQL to develop scalable data pipelines and transformation workflows.
Data Integration: Integrate datasets from diverse environments, ensuring seamless ingestion, harmonization, and modelling of data originating from both SQL and NoSQL systems.
Governance, Security & Compliance: Handle sensitive and regulated datasets in environments requiring GDPR and SOC2 compliance. Implement strong MDM, maintain data lineage, and uphold best practices in data governance.
AI Driven Optimization: Leverage AI/LLM tools within the development lifecycle to enhance efficiency, automate repetitive tasks, and optimize system performance.
Experience: -
10+ Years
Location: -
Remote role (US)
Duration: -
6 Months Contract
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Expert level proficiency in SQL and Python
Hands on experience with Snowflake, dbt, MongoDB, and PostgreSQL
Proven ability to convert raw, multi source data into high quality analytical assets
Strong understanding of governance, privacy frameworks, and sensitive data controls
Capability to apply AI powered tools to improve development workflows
Skills
Data Engineering, Data Modelling, SQL, Python, Snowflake, Hands on Engineer