Job Description

SummaryAnalytics - Python developer role inherit qualities with developing a unified, modular, and generalized data platform that integrates with different data sources and source systems, ensures data quality, models, and then exposes the data for consumption by other teams and platforms. Executing tests on software usability. Analysing results on database impacts, errors or bugs, and usability.Your role in our mission

• Python and Pandas (3 to 6 Years): Develop, maintain, and optimize automated Test scripts to validate Python scripts for data manipulation and analysis. Utilize Pandas to create and run test cases ensuring efficient data processing and transformation tasks are accurately performed.
• PySpark (2 Years): Implement PySpark functions for large-scale data processing.

Write and optimize PySpark and SQL queries for data retrieval, transformation, andanalysis, including joins, groupby, and orderby operations.

• Pytest Framework: Develop and maintain automated test scripts using Pytest for functional, integration, and regression testing.
• SQL: Write and optimize SQL queries to retrieve and transform data from various databases. Ensure efficient and accurate data extraction for analysis.
• Databricks: Understanding on ETL pipelines and analytics solutions using Databricks on the Azure platform. Collaborate with the data engineering team to ensure data quality and performance.
• Good to have knowledge in Spark concepts.
• Knowledge on AWS services like S3, lambda, CloudWatch
• Any Relational database (3 to 6 Years) and SQL experience.
• Hands-on experience in ETL, Datawarehouse and Data pipeline design (2 to 3 Years).

What we\'re looking for

• Have a good command on data Analytics.
• Experience in relational database, OLAP databases,
• Experience in Unix shell scripting and python a Plus
• Knowledge of Cloud, Power BI/Tableau, Data migration on cloud skills.

What you should expect in this roleCompetency1

• Having Knowledge in developing AI/ML models for deriving insights from Big Data systems and Data Lakes.
• Knowledge of MS-Azure Cloud
• Knowledge of cloud data platform on AWS (Lambda, S3, ECS, EKS, CloudWatch, CloudTrail, API Gateway).

Competency2Basic Qualifications

• Bachelor\'s degree in computer science, information systems, or related field preferred
• An ability to work independently across multiple projects, and to meet deadlines.
• Experience in US Healthcare is beneficial.
• Must have a sound understanding of the software development and software test lifecycle.
• Relevant Software Quality Engineering experience (0 to 3 years for Associate Professional; 3 to 8 years for Professional; 8 to 14 years for Senior Professional; 15+ years for Advisor)

Competency3Competency4Competency5

Gainwell Technologies