Python- Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
- Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
- Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
- Periodic Database health check and maintenance
- Designing collections in a no-SQL Database for efficient performance
- Document & maintain data dictionary from various sources to enable data governance
- Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
- Data Governance Process Implementation and ensuring data security
Requirements
- Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
- Programming experience using Python / Java.
- Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
- Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
- Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
- Extensive technical experience in SQL including code optimization techniques.
- Strung knowledge of database performance and tuning, troubleshooting, and tuning.
- Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
- Ability to understand business functionality, processes, and flows.
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
- Any OLAP DWH DBA Experience and User Management will be added advantage.
- Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
- Experience in Snowflake will be added advantage.
- Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.
Functional knowledge
- Data Governance & Quality Assurance
- Modern OLAP Database Architecture & Design
- Linux
- Data structures, algorithm & data modeling techniques
- No-SQL database architecture
- Data Security
Subodh Popalwar
Software Engineer, Memorres
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Software Engineer, Memorres