Oracle Data Engineer

Zigsaw

Delhi

On-site

INR 1,100,000 - 1,500,000

Full time

2 days ago
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Benefits offered by this job

Health Insurance
Personal Accident Insurance

Job summary

Zigsaw in Delhi is seeking an Associate L2 to analyze business data, develop dashboards and reports, and ensure data quality using Oracle databases and DWH solutions.

You will design and maintain ETL pipelines, optimize SQL, and support data modeling and data integration across multiple sources. Collaborative work with stakeholders is essential.

Qualifications

  • B.Tech/B.E./BCA/MCA or equivalent.
  • 2–4 years of experience in Data Engineering, BI, DB development, or Data Warehousing.
  • Notice period: Immediate to 30 days preferred.
  • Health Insurance and Personal Accident Insurance option.

Responsibilities

  • Design, develop, and maintain ETL pipelines for structured and unstructured data.
  • Develop, optimize, and troubleshoot complex SQL queries and database objects.
  • Build and support Data Warehouse (DWH) solutions and data integration processes.
  • Develop and maintain dashboards and reports to support business insights.
  • Work with Oracle databases and Oracle NetSuite data for reporting and integrations.
  • Perform data modelling, database design, and schema optimization.
  • Ensure data quality, integrity, and consistency across multiple data sources.
  • Collaborate with developers, analysts, and business stakeholders to understand reporting and data requirements.
  • Document data pipelines, workflows, and technical processes.
  • Support performance tuning, issue resolution, and continuous improvement of data systems.

Skills

Oracle Database
SQL
Data Warehouse (DWH)
ETL
Oracle NetSuite
Data Modelling
Dashboard & Report Development
Python
AWS/Azure/GCP

Education

B.Tech/B.E./BCA/MCA or equivalent

Tools

Oracle NetSuite
Oracle Database
SQL
Data Warehouse
ETL

Job description

  • Qualification: B.Tech/B.E./BCA/MCA or equivalent
  • Mandatory Skills: Oracle Database, SQL, Data Warehouse (DWH), ETL, Oracle NetSuite, Data Modelling, Dashboard & Report Development
  • Good to Have: Python, AWS/Azure/GCP
  • Notice Period: Immediate to 30 Days Preferred
ROLE EXPECTATIONS

As an Associate L2, you will analyze business data, develop dashboards and reports, ensure data quality, and work with Oracle databases and Data Warehouse solutions to deliver actionable insights.

DUTIES AND RESPONSIBILITIES
  • Design, develop, and maintain ETL pipelines for structured and unstructured data.
  • Develop, optimize, and troubleshoot complex SQL queries and database objects.
  • Build and support Data Warehouse (DWH) solutions and data integration processes.
  • Develop and maintain dashboards and reports to support business insights.
  • Work with Oracle databases and Oracle NetSuite data for reporting and integrations.
  • Perform data modelling, database design, and schema optimization.
  • Ensure data quality, integrity, and consistency across multiple data sources.
  • Collaborate with developers, analysts, and business stakeholders to understand reporting and data requirements.
  • Document data pipelines, workflows, and technical processes.
  • Support performance tuning, issue resolution, and continuous improvement of data systems.
Required Technical Skills
  • Strong hands-on working experience with Oracle Database.
  • Strong proficiency in SQL, query writing, performance optimization, and data analysis.
  • Good understanding of Data Warehouse (DWH) concepts and data integration.
  • Hands-on working experience with Oracle NetSuite.
  • Experience in designing and developing dashboards, reports, and data visualizations.
  • Understanding of database design, normalization, data modeling, and data quality.
  • Experience working with large datasets and reporting solutions.
  • Familiarity with ETL processes and data integration concepts
  • Strong analytical, problem-solving, and troubleshooting skill
  • Excellent communication and stakeholder management skills.
Preferred Skills
  • Exposure to Python for automation and data scripting.
  • Experience working with large datasets and enterprise reporting solutions.
  • Good understanding of data quality management and governance principles.
  • Familiarity with cloud-based data platforms (AWS, Azure, or GCP) is an added advantage.
  • Excellent communication and stakeholder management skills.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
Work Experience
  • 2–4 years of experience in Data Engineering, Business Intelligence, Database Development, or Data Warehousing.
Additional Information
  • Health Insurance and Personal Accident Insurance
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