Posted on: 03/06/2026
Job Description :
Work Mode : Remote (Shift timings - USA, UK timings - PT overlap)
Experience : 3 - 5 years
Must have strong domain knowledge in Healthcare / Life science / Pharma.
Job Description :
- Strong hands-on experience with Amazon Redshift, including database design, query optimization, workload management, and performance tuning in large-scale data warehouse environments.
- Minimum 2+ years of experience working with large-scale datasets, handling high-volume transactional and analytical data efficiently.
- Expert-level proficiency in developing, debugging, and optimizing Stored Procedures in Amazon Redshift.
- Strong expertise in writing high-performance SQL queries, including complex joins, CTEs, window functions, aggregations, and query optimization techniques.
- Experience in performance tuning and troubleshooting slow-running SQL queries, ETL pipelines, and Redshift workloads.
- Solid understanding of data warehousing concepts, dimensional modelling, star/snowflake schemas, and data transformation processes.
- Experience working with ETL/ELT processes and integrating data from multiple heterogeneous data sources.
- Ability to analyze business requirements and translate them into scalable and efficient SQL-based solutions.
- Strong understanding of database best practices, indexing strategies, distribution keys, sort keys, partitioning, and data compression techniques in Redshift.
- Experience with data validation, reconciliation, and ensuring data quality and integrity across systems.
- Ability to work effectively in fast-paced environments, manage tight deadlines, and consistently deliver high-quality, production-ready code.
- Strong problem-solving and analytical skills with attention to detail and accuracy.
- Experience collaborating with cross-functional teams including Data Engineers, Business Analysts, QA teams, and business stakeholders.
- Knowledge of version control systems, deployment processes, and release management practices is preferred.
- Familiarity with cloud-based data ecosystems and AWS services related to Redshift is an added advantage.
- Must have strong domain knowledge in Healthcare/Medical Claims data, including claims processing, adjudication, eligibility, provider/member data, ICD/CPT codes, and healthcare reporting requirements.
- Excellent communication skills with the ability to explain technical solutions to both technical and non-technical stakeholders.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1641298