9 BDC7B Key Responsibilities:- Design, develop, and optimize ETL/ELT pipelines using Snowflake and related tools.- Build and maintain data warehouses, data lakes, and data marts on the Snowflake platform.- Implement best practices for data modeling, partitioning, and performance tuning within Snowflake.- Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions.- Automate data ingestion, transformation, and validation workflows.- Monitor, troubleshoot, and optimize Snowflake workloads and query performance.- Implement data security, governance, and compliance controls within Snowflake.- Document data engineering processes, data flows, and system architecture.- Stay current with Snowflake platform updates, new features, and industry trends.- Support migration of data from legacy systems to Snowflake cloud platform.Required Skills and Qualifications:- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.- Proven experience as a Data Engineer or similar role, preferably with Snowflake.- Strong expertise in Snowflake architecture, SQL, and cloud data warehousing concepts.- Proficiency in ETL/ELT tools such as Apache Airflow, Talend, Matillion, dbt, or similar.- Experience with cloud platforms like AWS, Azure, or GCP.- Solid programming skills in Python, Java, or Scala.- Knowledge of data modeling, schema design, and data partitioning strategies.- Familiarity with BI tools like Tableau, Power BI, or Looker is a plus.- Understanding of data governance, security, and compliance standards.- Excellent problem-solving and communication skills.- Ability to work independently and collaboratively in a fast-paced environment.
Responsibilities
9 BDC7B Key Responsibilities:- Design, develop, and optimize ETL/ELT pipelines using Snowflake and related tools.- Build and maintain data warehouses, data lakes, and data marts on the Snowflake platform.- Implement best practices for data modeling, partitioning, and performance tuning within Snowflake.- Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions.- Automate data ingestion, transformation, and validation workflows.- Monitor, troubleshoot, and optimize Snowflake workloads and query performance.- Implement data security, governance, and compliance controls within Snowflake.- Document data engineering processes, data flows, and system architecture.- Stay current with Snowflake platform updates, new features, and industry trends.- Support migration of data from legacy systems to Snowflake cloud platform.Required Skills and Qualifications:- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.- Proven experience as a Data Engineer or similar role, preferably with Snowflake.- Strong expertise in Snowflake architecture, SQL, and cloud data warehousing concepts.- Proficiency in ETL/ELT tools such as Apache Airflow, Talend, Matillion, dbt, or similar.- Experience with cloud platforms like AWS, Azure, or GCP.- Solid programming skills in Python, Java, or Scala.- Knowledge of data modeling, schema design, and data partitioning strategies.- Familiarity with BI tools like Tableau, Power BI, or Looker is a plus.- Understanding of data governance, security, and compliance standards.- Excellent problem-solving and communication skills.- Ability to work independently and collaboratively in a fast-paced environment.
Salary : Rs. 0.0 - Rs. 1,65,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Key Requirements:
Strong hands-on experience in Looker (LookML, Explores, Views, Models, Dashboard Development, Performance Optimization).
Strong SQL skills and experience working with cloud data platforms such as BigQuery, Snowflake, etc.
Deep understanding of Retail Banking domain, with experience in one or more of the following:
Credit Risk
Delinquency & Collections
Portfolio Analytics
Customer Analytics
Ability to interact directly with business stakeholders, gather requirements, and translate them into analytical solutions.
Strong communication and stakeholder management skills.
Preferred:
Experience working with global banking clients.
Knowledge of Conversational Analytics/GenAI capabilities in Looker.
Responsibilities
Job Description:
Key Requirements:
Strong hands-on experience in Looker (LookML, Explores, Views, Models, Dashboard Development, Performance Optimization).
Strong SQL skills and experience working with cloud data platforms such as BigQuery, Snowflake, etc.
Deep understanding of Retail Banking domain, with experience in one or more of the following:
Credit Risk
Delinquency & Collections
Portfolio Analytics
Customer Analytics
Ability to interact directly with business stakeholders, gather requirements, and translate them into analytical solutions.
Strong communication and stakeholder management skills.
Preferred:
Experience working with global banking clients.
Knowledge of Conversational Analytics/GenAI capabilities in Looker.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
