Hybrid
Full-Time
Kolkata, West Bengal
India
About the Role
We are seeking an experienced professional who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential.
Roles and Responsibilities:
Design and implement scalable and efficient data storage solutions using Snowflake.
Write, optimize, and troubleshoot SQL queries within the Snowflake environment.
Ability to provide solutions that are forward-thinking in data engineering and analytics space
Collaboration with DW/BI leads to understanding new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architect and team members
Orchestrate the data pipelines in scheduler via Airflow
Integrate Snowflake with various data sources and third-party tools.
Ability to provide solutions that are forward-thinking in data engineering and analytics space
Collaboration with DW/BI leads to understanding new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architect and team members
Orchestrate the data pipelines in scheduler via Airflow
Skills and Qualifications:
Bachelor's and/or master’s degree in computer science or equivalent experience.
7+ Years of experience in Data & Analytics with Good Communication and presentations skills.
At least 6+ years' experience in Snowflake implementations, large scale data warehouse end-to- end implementation experience.
Must have Databricks certified architect.
Proficiency in SQL and experience with scripting languages (e.g., Python, spark, Pyspark) for data manipulation and automation.
Solid understanding of cloud platforms (AWS, Azure, GCP) and their integration with various data tools.
Familiarity with data governance and data management practices. exposure to Data sharing, unity catalog, DBT, replication tools, performance tuning will be added advantage / must have skills.
About Tredence:
Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and Southeast Asia. Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees.
Visit our website for more details: https://www.tredence.com/
Roles and Responsibilities:
Design and implement scalable and efficient data storage solutions using Snowflake.
Write, optimize, and troubleshoot SQL queries within the Snowflake environment.
Ability to provide solutions that are forward-thinking in data engineering and analytics space
Collaboration with DW/BI leads to understanding new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architect and team members
Orchestrate the data pipelines in scheduler via Airflow
Integrate Snowflake with various data sources and third-party tools.
Ability to provide solutions that are forward-thinking in data engineering and analytics space
Collaboration with DW/BI leads to understanding new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architect and team members
Orchestrate the data pipelines in scheduler via Airflow
Skills and Qualifications:
Bachelor's and/or master’s degree in computer science or equivalent experience.
7+ Years of experience in Data & Analytics with Good Communication and presentations skills.
At least 6+ years' experience in Snowflake implementations, large scale data warehouse end-to- end implementation experience.
Must have Databricks certified architect.
Proficiency in SQL and experience with scripting languages (e.g., Python, spark, Pyspark) for data manipulation and automation.
Solid understanding of cloud platforms (AWS, Azure, GCP) and their integration with various data tools.
Familiarity with data governance and data management practices. exposure to Data sharing, unity catalog, DBT, replication tools, performance tuning will be added advantage / must have skills.
About Tredence:
Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and Southeast Asia. Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees.
Visit our website for more details: https://www.tredence.com/