Specialist - Software Engineer [Informatica & Teradata]

Talent et au-dela; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Talent et au-dela in Hyderabad seeks a Specialist Software Engineer to lead offshore developers and drive data initiatives for Sales Data Mart and Sales IQ apps.

You will design, implement scalable ETL solutions, mentor teammates, and collaborate with stakeholders to align business needs with technology, delivering secure, reliable data platforms at scale.

Strong communication, analytical skills, and expertise in Informatica, Teradata, and Databricks are essential for success in this role.

Qualifications

• BE / BTech required
• 8-12 years of experience preferred

Responsibilities

• Design, develop, and maintain ETL pipelines using Informatica, Teradata, SQL, Perl, and Databricks.
• Lead development efforts and mentor junior team members.
• Collaborate with stakeholders to define and deliver effective data solutions.
• Troubleshoot production issues and perform root cause analysis.
• Manage competing priorities in a fast-paced environment.
• Support application run operations and perform data analysis.
• Optimize data workflows for performance and scalability.
• Ensure data quality, integrity, and governance across systems.
• Document technical designs, processes, and standards.
• Experience with Universal Automation Center (UAC).

Skills

Informatica

Teradata

SQL

Perl

Databricks

AWS

Education

BE / BTech

Tools

Databricks

Teradata

Informatica

SQL

Perl

UAC

Tosca

Oracle

Unix

Job description

Specialist, Software Engineer [Informatica & Teradata]

Our client, a Fortune 100 company with nearly a century of strength, stability, and purpose-driven innovation, is expanding its global technology footprint. Our Global Capability Centre (GCC) in Hyderabad plays a strategic role in delivering secure, scalable, and customer-focused digital solutions that support millions of individuals and businesses across the U.S., you’ll join a forward-thinking team that embraces agile ways of working, fosters a collaborative and inclusive culture, and invests in emerging technologies like cloud, data, AI, and cybersecurity. Our associates contribute to meaningful work that protects futures and strengthens communities—making a real impact every day.

Job Description

The company’s Property and Casualty, Sales Technology Solutions team is seeking a seasoned Software Engineer to lead a team of developers offshore and drive strategic data initiatives.

This resource will support Sales Data Mart and Sales IQ applications.

This role requires strong technical expertise, leadership skills, and the ability to work across functions to align business needs with scalable solutions.

Candidates should have strong communication skills and work well within a team environment.

Applicant must have strong analytical skills, the ability to troubleshoot, ability to prioritize tasks as well as multitask, and communicate effectively with internal and external stakeholders will be key.

Technology stack includes Databricks, Teradata, Informatica, DIF (PERL), UAC (Scheduling), Legacy/Mainframe, Unix, GitHub Actions, Harness, UCD (code deployment), Tosca, Oracle & SQL server.

Key Responsibilities:

• Design, develop, and maintain ETL pipelines using Informatica, Teradata, SQL, Perl, and Databricks.
• Lead development efforts and mentor junior team members.
• Collaborate with stakeholders to define and deliver effective data solutions.
• Troubleshoot production issues and perform root cause analysis.
• Manage competing priorities in a fast-paced environment.
• Support application run operations and perform data analysis.
• Optimize data workflows for performance and scalability.
• Ensure data quality, integrity, and governance across systems.
• Document technical designs, processes, and standards.
• Experience with Universal Automation Center (UAC).

Qualification Criteria

Required Qualifications & Expertise

• Qualification : BE / BTech
• Experience: 8 - 12 years

Technical Skills:

• Informatica
• AWS
• Databricks