Data Engineer

The Hartford India

Hyderabad

On-site

INR 2,400,000 - 4,200,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
Professional development opportunities
Exposure to AI/cloud technologies

Job summary

The Hartford India in Hyderabad invites an experienced Software Engineer specialized in data solutions to design, develop, and optimize enterprise ETL workflows using Informatica PowerCenter and Oracle PL/SQL.

With 8+ years in data engineering, you will drive data quality, performance tuning, and collaboration with analysts, DBAs, and reporting teams to deliver reliable pipelines for reporting and business operations.

Qualifications

  • 8+ years in data engineering or ETL development roles.
  • Hands-on Informatica PowerCenter for building ETL workflows.
  • Advanced Oracle PL/SQL with performance tuning.

Responsibilities

  • Design, develop, and maintain ETL workflows in Informatica to load data from multiple source systems.
  • Write, optimize, and troubleshoot Oracle PL/SQL procedures, functions, and packages.
  • Analyze data requirements and translate into scalable data solutions.

Skills

Informatica PowerCenter
Oracle PL/SQL
SQL tuning
Data engineering/ETL
Agile development
Analytical thinking
Communication

Education

Bachelor's degree

Tools

Autosys
Python

Job description

We are seeking an experienced Software Engineer with 8+ years of hands-on expertise in building and maintaining robust data solutions. The role focuses on designing, developing, and optimizing ETL workflows using Informatica, Strong Oracle PL/SQL development skills along with DevSecOps and working with Generative AI development tools to support complex data processing needs. The ideal candidate will play a key role in delivering high-quality, reliable data pipelines that power reporting, analytics, and business operations within a reinsurance team in Hyderabad, India.

Key Responsibilities
  • Design, develop, and maintain ETL workflows in Informatica to load data from multiple source systems
  • Write, optimize, and troubleshoot complex Oracle PL/SQL procedures, functions, and packages
  • Analyze business and data requirements and translate them into scalable technical data solutions
  • Performing data mapping, transformation logic design, and data validation to ensure high data quality
  • Tune ETL jobs and database queries for performance, scalability, and reliability
  • Work with large datasets related to Reinsurance
  • Monitor and support ETL jobs, perform root cause analysis, and resolve data issues quickly.
  • Collaborate with business analysts, data architects, DBAs, and reporting teams to deliver end-to-end data solutions
  • Participate in code reviews and follow best practices for version control and release management
Required Skills & Experience
  • Bachelor's Degree with 8 or more years of experience in application software solution development
  • 8+ years of experience in data engineering or ETL development roles
  • Strong hands-on experience with Informatica PowerCenter for building and maintaining ETL workflows
  • Advances proficiency in Oracle PL/SQL, including procedures, functions, packages, and performance tuning
  • Expertise in complex SQL development, query optimization, and indexing strategies
  • Experience with data integration across multiple source systems (databases, flat files, etc.)
  • Familiarity with job scheduling tools (e.g., Autosys, or similar)
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work in Agile or iterative development environments
  • Excellent communication skills and ability to collaborate with technical and business teams
Nice to Have Skills
  • Experience in Reinsurance domain
  • Knowledge of ProCede or Similar reinsurance administration systems
  • Exposure to financial data, policy systems, or claims data
  • Hands-on experience with AWS cloud services
  • Experience leveraging AI/ML tools or automation techniques to improve data quality, streamline ETL processes, or optimize data operations
  • Exposure to scripting or automation using Python, Shell, or similar tools to enhance data engineering workflows
What We Offer
  • Opportunity to work on advanced cloud automation and AI technologies
  • Collaborative and innovative work environment
  • Competitive compensation and comprehensive benefits
  • Continuous learning and professional development opportunities
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