Job description
Project Role : Quality Engineer
Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process.
Must have skills : Microsoft SQL Server
Good to have skills : Python (Programming Language), Business Requirements Analysis
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
1. SQL + Python Data Analyst
Key Skills: SQL + Python/PySpark + Data Analyst + Databricks
JD / Role Overview: A seasoned data professional with 6 years of experience in SQL and Python, specializing in handling large datasets, converting business requirements into technical solutions, and translating SQL logic into Python (and vice versa). Brings strong expertise in data engineering, reporting, and analytics with exposure to Power BI and Databricks.
Key Responsibilities
Participate in requirement gathering sessions and understand the requirement throughly
Converting Business Requiremetns to Technical Solution using SQL and Python
Develop Business Logic - Mapping Docs - SQL/Python Logic/Queries
Design, develop, and optimize ETL pipelines and workflows using Python and SQL.
Handle large-scale datasets, ensuring performance, scalability, and data integrity.
Translate business requirements into efficient SQL queries and Python scripts.
Convert SQL logic into Python code and Python workflows into SQL queries as needed.
Build dashboards and reports in Power BI to deliver actionable insights.
Utilize Databricks for data transformation, orchestration, and collaborative analytics.
Collaborate with stakeholders to align technical solutions with business goals.
Required Skills
Strong proficiency in Python (data manipulation, automation, APIs).
Advanced SQL expertise (query optimization, stored procedures, performance tuning).
Health Care Domain experienc with Business Requirments understanding
Experience with large datasets and data warehousing concepts.
Working knowledge of Databricks and Spark.
Proficiency in Power BI for reporting and visualization.
Familiarity with cloud platforms Azure and version control (Git).
This job post has been translated by AI and may contain minor differences or errors.
