Software Engineer

ValueMomentum; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive compensation

Career advancement

Training & certification programs

Job summary

ValueMomentum is seeking a Software Engineer with 3–5 years of data engineering experience to design and implement scalable data pipelines. You will work across AWS, Azure, GCP, and Snowflake, handling policy, claims, underwriting, and billing data to enable BI and advanced analytics.

A strong emphasis on ETL/ELT, data quality, and governance is required. The role involves collaboration with analysts and stakeholders, implementing secure data solutions, and optimizing performance in a fast-paced

Qualifications

• 3–5 years of data engineering experience.
• Hands-on experience with ETL/ELT pipelines and cloud data platforms.
• Experience with Snowflake, AWS Glue, Azure Data Factory, and GCP Dataflow.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of structured and semi-structured data.
• Build and optimize ETL/ELT workflows for data lakes, data warehouses, and analytics platforms.
• Implement data solutions across cloud platforms such as AWS, Azure, GCP, and Snowflake.
• Work with domain datasets including policy, claims, underwriting, billing, and third-party data.
• Collaborate with business analysts, data analysts, and stakeholders to translate business requirements into technical solutions.
• Ensure data quality, consistency, and accuracy through validation, reconciliation, and monitoring frameworks.
• Optimize performance using partitioning, indexing, and query tuning techniques.
• Implement data governance, metadata management, lineage, and compliance controls.
• Manage data security, access controls, and regulatory compliance in collaboration with platform teams.
• Monitor and troubleshoot production data pipelines to ensure reliability and availability.
• Document data architecture, workflows, and operational procedures.

Skills

Python/PySpark

SQL

Leadership

Data engineering

Tools

Databricks

ADF

AWS Glue

Snowflake

Azure Data Factory

GCP Dataflow

Job description

Job Title: Software Engineer

Job ID: POS-20394

Primary Skill: Databricks, ADF

Key Skills: AWS Glue, Amazon S3, Amazon Redshift, AWS Lambda, PySpark, Python, Snowflake, ETL/ELT & Scalable Data Pipelines

Mode of Work: Work From Office (5 Days)

Job Location: Hyderabad / Pune / Coimbatore

Experience: 3 to 5 Years

About The Job

We are seeking a highly skilled Sr. Data Engineer with strong expertise in cloud-based data platforms and modern data engineering practices. The ideal candidate will have hands‑on experience in building scalable data pipelines, implementing ETL/ELT solutions, and supporting enterprise data warehousing and analytics initiatives.

This role involves designing, developing, and optimizing data solutions to enable business intelligence, reporting, and advanced analytics, particularly within the insurance domain.

Know Your Team

At ValueMomentum Technology Solutions Centre, we are a team of passionate engineers solving complex business challenges with innovative solutions while transforming the P&C insurance value chain.

Our strength lies in a strong engineering foundation and continuous evolution of processes, tools, and agile methodologies. Our core expertise spans Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain Expertise.

We invest in your growth through our Infinity Program, enabling continuous learning, skill development, and opportunities to contribute to impactful projects.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of structured and semi-structured data.
• Build and optimize ETL/ELT workflows for data lakes, data warehouses, and analytics platforms.
• Implement data solutions across cloud platforms such as AWS, Azure, GCP, and Snowflake.
• Work with domain datasets including policy, claims, underwriting, billing, and third-party data.
• Collaborate with business analysts, data analysts, and stakeholders to translate business requirements into technical solutions.
• Ensure data quality, consistency, and accuracy through validation, reconciliation, and monitoring frameworks.
• Optimize performance using partitioning, indexing, and query tuning techniques.
• Implement data governance, metadata management, lineage, and compliance controls.
• Manage data security, access controls, and regulatory compliance in collaboration with platform teams.
• Monitor and troubleshoot production data pipelines to ensure reliability and availability.
• Document data architecture, workflows, and operational procedures.

Requirements

• 3–5 years of experience in data engineering, including data ingestion, processing, and analytics pipelines.
• Experience in leading teams, grooming team members, and motivating them to develop their technical capabilities.
• Strong programming skills in Python/PySpark and SQL.
• Hands‑on experience with ETL/ELT tools and workflow orchestration.
• Experience with cloud data platforms such as Snowflake, AWS Glue, Azure Data Factory, and GCP Dataflow.
• Proficiency in working with structured and semi-structured data formats such as CSV, JSON, and Parquet.
• Solid understanding of data warehousing concepts and data modelling.
• Experience with data quality frameworks, validation, and reconciliation techniques.
• Knowledge of metadata management, data lineage, and governance practices.
• Strong analytical, problem‑solving, and performance optimization skills.
• Experience with real‑time or near real‑time data processing is a plus.
• Prior experience in the insurance or financial services domain is preferred.

Good To Have

• Experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions.
• Strong understanding of data governance, security, and compliance practices.
• Experience with cloud‑native data engineering and CI/CD practices.
• Experience working with P&C Insurance datasets and business processes.

About The Company

Founded in 2000 with the core belief that impactful change comes from deep commitment, ValueMomentum specializes in delivering measurable results across the P&C value stream. For more than 25 years, we have empowered more than 100 carriers to reimagine their businesses with AI and emerging technologies, navigate market shifts, unlock speed to value, and become future‑ready. We help insurers in the US, Canada, and Europe stay ahead with sustained growth and high performance to enhance stakeholder value and foster resilient societies. For more information, visit ValueMomentum

Benefits

We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:

• Competitive compensation package.
• Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
• Comprehensive training and certification programs.
• Performance Management: Goal Setting, continuous feedback and year‑end appraisal. Reward & recognition for the extraordinary performers.