| 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.
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| 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.
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| 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
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