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Data Engineer

ResourceTree Global Services Pvt Ltd
3 - 5 Years
Anywhere in India/Multiple Locations

Posted on: 03/06/2026

Job Description

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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