Director Software Engineering

Trimont Real Estate Advisors LLC.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A global commercial real estate firm based in Hyderabad is looking for a highly skilled Sr Data Engineer. The successful candidate will design and maintain scalable data pipelines while collaborating with cross-functional teams. With over 10 years of experience in data engineering, proficiency in languages such as Python and SQL, and familiarity with ETL tools, you will drive innovation and best practices in data management. This role offers the opportunity to work on significant projects that impact the business.

Qualifications

• 10+ years of proven experience in data engineering or software development.
• Experience with big data technologies such as Hadoop and Spark.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and optimize end-to-end data pipelines for processing large volumes of data.
• Develop and implement ETL processes to integrate data from various sources.
• Collaborate with data scientists and business stakeholders to understand data requirements.

Skills

Python

Java

SQL

ETL processes

Hadoop

Spark

Kafka

Education

Bachelor’s degree in computer science or related field

Tools

SSIS

Snowflake

Databricks

Azure Data Factory

Job description

Founded in 1988 and headquartered in Atlanta, Georgia Trimont (www.trimont.com) is a specialized global commercial real estate loan services provider and partner for lenders seeking the infrastructure and capabilities needed to make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit.

We do this with a team of 1100+ extraordinary Team Members who serve a global client base from offices in Atlanta, Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our skilled global teams by equipping them with the necessary knowledge and advanced technology, as well as fostering a culture driven by values. This approach helps our teams excel and build meaningful client relationships, while providing the highest quality service and feeling proud of the work they do.

Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration.

Learn: We believe ongoing learning is critical and are focused on providing a work environment where individuals can take ownership of their careers.

Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry's most challenging and exciting endeavors.

Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what you as an individual, and we as an organization, can achieve together.

Position Overview

Lead complex and large-scale technology initiatives with broad organizational impact, driving best practices and engineering standards in software development. Design, develop, and optimize full-stack applications and microservices, ensuring performance, security, and compliance. Act as a technical leader, mentoring teams, resolving critical technical challenges, and collaborating with key experts to influence strategy and innovation. Navigate enterprise architecture, incident/problem management, and technology delivery, ensuring efficiency in Agile workflows.

Summary

We are seeking a highly skilled and motivated Sr Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our enterprise‑wide data‑driven initiatives. You will collaborate closely with cross‑functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

This role involves working across modern data engineering frameworks, cloud platforms, and distributed environments to enable efficient data integration, transformation, governance, and consumption across the organization. You will contribute to architectural decisions, lead complex data engineering tasks, and support best practices for high‑quality, secure, and scalable data solutions.

Responsibilities

• Design, implement, and optimize end‑to‑end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
• Implement data validation and quality checks to ensure accuracy and consistency across systems.

Data Modeling and Architecture

• Design and maintain data models, schemas, and database structures for analytical and operational use cases.
• Optimize data storage and retrieval mechanisms to support performance and scalability.
• Evaluate and implement data storage solutions including relational databases, NoSQL systems, data lakes, and cloud storage platforms.

Data Integration and API Development

• Build and maintain integrations with internal and external data sources and APIs.
• Implement RESTful APIs and web services for secure and efficient data access and consumption.
• Ensure compatibility, standardization, and interoperability across systems.

Data Infrastructure Management

• Configure and manage data infrastructure components including databases, warehouses, lakehouses, and distributed computing frameworks.
• Monitor system performance, identify bottlenecks, troubleshoot issues, and implement optimizations.
• Implement data security controls, governance, and access management policies to protect sensitive information.

Collaboration and Documentation

• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective technical solutions.
• Document technical designs, workflows, data flow diagrams, and best practices to enable transparency and knowledge sharing.
• Provide technical guidance, mentorship, and support to team members and cross‑functional partners.

Requirements

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• 10+ years of proven experience in data engineering, software development, or related technical roles.
• 10+ years of experience in programming languages commonly used in data engineering (Python, Java, SQL, Stored Procedures, Scala, etc.).
• 10+ years of experience with database systems, data modeling, and advanced SQL.
• 10+ years of experience with ETL tools such as SSIS, Snowflake, Databricks, Azure Data Factory, Stored Procedures, etc.
• Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
• 7+ years of experience working with cloud platforms like Azure, AWS, or Google Cloud.
• Strong analytical, problem‑solving, and debugging skills with high attention to detail.
• Excellent communication and collaboration skills in a team‑oriented, fast‑paced environment.
• Ability to adapt to rapidly evolving technologies and business requirements.>

Trimont is an equal opportunity employer, and we’re proud to support and celebrate diversity in the workplace. If you have a disability and need accommodation or assistance with the application process and/or using our website, please contact us. Trimont is a drug‑free workplace.