Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

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

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 thoroughly

Converting Business Requirements 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 Experience With Business Requirements 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).

Primary Skill Secondary Skill Required Level Internal Demand Hiring Contracting Comments Rol and JD Mapping from JD sheet

Databricks SAS 8 1 1 Role Start date, 1st jan 2027 Databricks Data Engineer

Databricks SQL, Python 10 5 5 Role Start date, 1st jan 2027 Databricks Data Engineer

Databricks JD: Databricks Data Engineer

Key Skills: Databricks + SQL + Python/PySpark + Data Engineering

Role Overview We are seeking a 6 Y of experienced Databricks Data Engineer with strong expertise in building scalable data pipelines, managing large datasets, and delivering business driven solutions. The ideal candidate will have advanced skills in Python and SQL, hands on experience with Databricks, and the ability to translate business requirements into efficient technical implementations.

Key Responsibilities

Design, develop, and optimize ETL pipelines and workflows using Databricks, Python, and SQL.

Handle large scale datasets, ensuring performance, scalability, and data integrity.

Translate business requirements into robust data models, queries, and scripts.

Implement data transformations, orchestration, and automation within Databricks.

Collaborate with analysts, data scientists, and business stakeholders to deliver actionable insights.

Build dashboards and reports using Power BI or similar BI tools.

Ensure compliance with data governance, security, and best practices.

Document processes, pipelines, and solutions for knowledge sharing.

Required Skills

Strong proficiency in Python and SQL with 6+ years of experience.

Hands on expertise with Databricks (data engineering, Spark, orchestration).

Experience handling large datasets and optimizing performance.

Knowledge of data warehousing concepts and ETL workflows.

Familiarity with BI tools (Power BI, Tableau) for reporting and visualization.

Exposure to cloud platforms (Azure, AWS, or GCP) and version control (Git)

Strong problem solving, communication, and collaboration skills.

Exposure to machine learning workflows within Databricks is a plus.

, 15 years full time education