Join the LLR family of private equity-backed growth companies.

About Us:

Suvoda is a leading e-healthcare company dedicated to leveraging data to drive business insights and decisions. We are looking for a talented Data Engineer to join our dynamic team and help us build robust data systems for our data lake and data warehouse infrastructure.

Job Description:

The Data Engineer will be responsible for designing, developing, and maintaining data feeds and transformations to consolidate data into our data lake and data warehouse. This role requires a strong understanding of data modeling, particularly star and snowflake schemas, and experience with cloud ELT systems and data technologies, especially within the AWS ecosystem. Additionally, data science skills are a plus, enabling the candidate to support advanced analytics initiatives.

Key Responsibilities:

• Design and implement data pipelines to ingest, process, and transform data from various sources into the data lake and data warehouse.
• Develop and maintain ETL/ELT processes using cloud-based tools and technologies, primarily in AWS.
• Design and optimize star and snowflake schemas to support efficient querying and reporting.
• Ensure data quality, consistency, and security throughout the data lifecycle.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that enable data-driven decision-making.
• Document data processes, pipeline architecture, and data flow diagrams.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• over 3 years of experience in data engineering or a related role.
• Strong understanding of data modeling principles, including star and snowflake schemas.

• Hands-on experience with cloud-based ELT systems and data technologies, especially within the AWS ecosystem (e.g., AWS Glue, Redshift, S3, Lambda, etc.).
• Familiarity with data warehousing concepts and best practices.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Knowledge of programming languages such as Python or Java.
• Data science skills and familiarity with machine learning concepts are a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Skills:

• Knowledge of data governance and data security best practices.
• Experience with visualization tools (e.g., Tableau, Power BI).
• Familiarity with CI/CD processes and tools.