SCOPE OF SERVICES

Responsibilities

Responsibilities:

• Develop and maintain highly efficient and interactive reports, dashboards, and data models to meet business requirements.
• Collaborate with data scientists and business stakeholders to understand data analysis needs and translate them into technical requirements.
• Design and implement data engineering pipelines to extract, transform, and load data from various sources into the analytics platform.
• Perform data validation, cleansing, and transformation to ensure accuracy and consistency.
• Optimize database queries and data retrieval processes to enhance performance and scalability.
• Conduct data profiling and analysis to identify data quality issues and provide recommendations for improvement.
• Stay up to date with industry best practices and emerging trends in analytics, data engineering, and visualization tools.

MANDATORY SKILLS/EXPERIENCE Note: Candidates who do not have the mandatory skills will not be considered

• 12+ years of experience as an Analytics Developer, Data Engineer, or similar role, with a focus on developing reports, dashboards, and data models.
• Strong experience designing and implementing data models and schemas in Snowflake. 
• Define Snowflake databases objects to support efficient data storage and retrieval.
• Expertise with data visualization tools such as Power BI, Looker, Tableau, or similar.
• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Proficiency in data modeling concepts and techniques (e.g., dimensional modeling, star schema).
• Solid understanding of data engineering principles and experience with data integration and ETL processes.
• Familiarity with cloud platforms, preferably Azure, and experience with integration tools like IICS (Informatica Intelligent Cloud Services).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively in cross-functional teams.

DESIRABLE SKILLS/EXPERIENCE: 

• Proficiency in programming languages such as Python, R, or Java.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Experience with data integration tools such as Informatica Intelligent Cloud Services and Mulesoft.
• Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.
• Experience with Azure Monitoring services
• Microsoft Certified Azure Solutions Architect Expert or a Snowpro Certification or a similar one