Hiring For Data Engineer

Talent Zone Consultants; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Talent Zone Consultants in Bangalore is seeking an experienced Data Engineer with 6+ years to design, develop, and support modern data pipelines using Azure, Databricks, PySpark, SQL, and Python. Experience in AI/ML and production support is highly valued.

The role requires strong knowledge of Azure Data Factory, Delta Lake, and orchestration with Airflow, plus experience with Oracle/Snowflake and healthcare domain familiarity.

Qualifications

• 6+ years of experience in Data Engineering.
• Experience with Microsoft Azure and Azure Data Services.
• Strong hands-on experience with Azure Data Factory (ADF).
• Strong experience with Azure Databricks.
• Hands-on experience with Delta Tables, PySpark, and Spark SQL.
• Experience with workflow orchestration tools such as Apache Airflow.
• Experience with Oracle and Snowflake databases.
• Strong understanding of SQL-based RDBMS platforms.
• Advanced SQL skills including joins, optimization, and analytics functions.

Skills

Python

AI/ML

SQL

Data Modeling

Tools

Azure

Azure Data Factory

Databricks

PySpark

Spark SQL

Delta Lake

Airflow

Oracle

Snowflake

Job description

Job openings for Data Engineer in Bangalore

Job Title: Data Engineer

Experience: 6+ Years

Location: Bangalore

Job Summary

We are seeking an experienced Data Engineer with 6+ years of experience in designing, developing, and supporting modern data engineering solutions. The ideal candidate will have strong expertise in Azure, Databricks, PySpark, SQL, Python, AI/ML, and production support. Experience in the Healthcare, Claims, or Payer domain is highly preferred.

Key Skills & Requirements

Data Engineering & Cloud

• 6+ years of experience in Data Engineering.
• Strong hands-on experience with Microsoft Azure and Azure Data Services.
• Expertise in Azure Data Factory (ADF), including pipelines, triggers, monitoring, and troubleshooting.
• Strong experience with Azure Databricks.
• Hands-on experience with Delta Tables, PySpark, and Spark SQL.
• Experience with workflow orchestration tools such as Apache Airflow.

Database & SQL

• Experience with Oracle and Snowflake databases.
• Strong understanding of SQL-based RDBMS platforms.
• Advanced SQL skills, including:
  • Complex joins
  • Query optimization and performance tuning
  • Analytical functions

Programming & AI/ML

• Strong proficiency in Python (Mandatory).
• Knowledge of additional programming languages such as Java or Scala is preferred.
• Hands-on exposure to AI/ML technologies (Mandatory).
• Experience with AI tools, AI Builder, ML pipelines, or analytics-driven use cases.

Production Support & Quality

• Experience in production support and issue resolution.
• Strong knowledge of incident management, RCA, and SLA adherence.
• Experience in data validation, reconciliation, and testing.
• Exposure to QA automation and data testing frameworks is preferred.

Preferred Qualifications

• Experience working with Optum is preferred.
• Strong experience in the Healthcare, Claims, or Payer domain.
• Candidates with Optum experience should clearly mention the duration and role on their resume.

Must-Have Skills

• Azure
• Azure Data Factory (ADF)
• Databricks / PySpark / Spark SQL
• Python
• Advanced SQL
• AI/ML

Good-to-Have Skills

• Apache Airflow
• Oracle and Snowflake
• Healthcare / Claims / Payer domain
• Optum experience
• Production Support & QA Automation

Experience 6 - 8 Years

Salary Not Disclosed

Industry IT Software - Application Programming / Maintenance

Qualification

Key Skills Azure Azure Data Factory ADF Azure Databricks Databricks PySpark Spark SQL Python Advanced SQL Delta Lake Apache Airflow Oracle Snowflake AIML ML Pipelines Production Support Healthcare Data