A technology solutions provider in India is seeking a skilled data professional to support the design and implementation of data architecture. The role involves developing and maintaining data pipelines using Snowflake, ensuring data security and compliance, and collaborating with cross-functional teams. Ideal candidates will have proficiency in SQL, Python, and ETL processes, with the opportunity to transition into a full-time role based on performance.
Qualifications
Experience with Snowflake data platform for data management.
Proven skills in ETL and ELT processes.
Understanding of data modeling and data pipeline development.
Responsibilities
Develop and maintain data pipelines that extract, transform, and load data into Snowflake.
Design and optimize Snowflake data pipelines and queries for performance.
Ensure data security and compliance within Snowflake.
Skills
ETL Processes
ELT Processes
Snowflake data platform
Data Modeling
Data Loading
SQL
Python
Pyspark
Spark
Job description
Support the design and implementation of data architecture, including data
modeling, storage, and pipeline development in Snowflake. Optimize
performance, ensure data security and compliance, and collaborate with cross-
functional teams to meet dynamic business data requirements.
Job Description
Develop and maintain data pipelines that extract, transform, and load data from various sources into Snowflake. They use tools such as SQL, Python, and ETL/ELT platforms to build scalable and efficient data pipelines.
Determine the data storage and processing requirements, design data models, and create data pipelines to ingest, transform, and load data into Snowflake
Design and optimize Snowflake data pipelines and queries by applying best practices for data ingestion, transformation, and query performance. Continuously monitor platform performance and proactively implement improvements to enhance scalability, efficiency, and cost optimization.
Ensure data security and regulatory compliance within Snowflake by implementing robust access controls, encryption, and governance frameworks.
Maintain adherence to data privacy standards while safeguarding sensitive and business-critical information
Collaborate with cross-functional teams to ensure that the data solutions meet the needs of the organization
Professional certification of Databricks or equivalent certification is highly preferred.
Key Skills
ETL Processes
ELT Processes
Snowflake data platform
Data Modeling
Data Loading
SQL
Python
Pyspark
Spark
Opportunity to transition into full-time role based on performance