Who We Are Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience In addition we provide products and services to protect life s other most important assets our homes and digital identities Today Solera processes over 300 million digital transactions annually for approximately 235 000 partners and customers in more than 90 countries Our 6 500 team members foster an uncommon innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers insights algorithms and automation For more information please visit solera com The role Lead Software Engineer We are seeking a highly skilled Lead Software Engineer to join our data engineering team and play a critical role in shaping our data platform and analytics ecosystem This role is ideal for a hands-on technical leader who thrives on designing scalable reliable data solutions leading high-impact initiatives and mentoring engineers to deliver production-ready data products As a Senior Data Engineer you will be responsible for architecting building and optimizing robust ETL ELT pipelines across Snowflake and AWS to support enterprise analytics reporting and business intelligence use cases You will work closely with product analytics and business stakeholders to translate complex requirements into performant data models and trusted datasets You will also serve as a technical leader within the team driving best practices in data engineering code quality security and governance while continuously improving platform performance reliability and cost efficiency This role offers the opportunity to influence data architecture decisions modernize existing pipelines and contribute directly to the success of data-driven initiatives across the organization What You ll DoDesign build and maintain robust scalable ETL ELT data pipelines to support large-scale enterprise data processing and analytics workloads Integrate and harmonize data from diverse structured and unstructured sources including databases streaming platforms and external third-party APIs Develop and optimize high-performance data processing solutions using Python SQL and distributed processing frameworks where applicable Support enhance and troubleshoot existing ETL processes written in SQL and Python ensuring reliability data accuracy and timely resolution of production issues Collaborate with cross-functional teams to translate business and product requirements into well-designed data models pipelines and reusable data assets Create maintain and enforce clear reporting specifications data contracts and process documentation as part of production-ready data deliverables Partner with business and analytics stakeholders to deliver trusted reporting layers and dashboards leveraging Looker and other BI tools Lead code reviews provide technical guidance and mentor junior engineers fostering a culture of quality collaboration and continuous improvement Establish and enforce best practices for data quality security governance and compliance across the data platform Continuously optimize performance cost and scalability of cloud-based data platforms and data warehouse solutions Proactively identify opportunities to modernize data architecture improve pipeline efficiency and adopt new tools or frameworks where they add measurable value What You ll Bring Required QualificationsBachelor s or Master s degree in Computer Science Engineering or a related technical field 8-12 years of hands-on experience designing building and supporting enterprise-grade data engineering solutions Proven experience working with cloud-based data platforms including data warehouses and data lakes at scale Hands-on experience with SSAS cubes tabular or multidimensional Strong ability to translate business and analytical requirements into technical designs data models and production-ready solutions Solid understanding of data architecture patterns e g batch streaming ELT ETL lakehouse and experience designing scalable efficient and maintainable data models Advanced proficiency with Snowflake Amazon Redshift or similar cloud data warehouse technologies Robust programming skills in Python and SQL with working knowledge of PySpark or other distributed processing frameworks Hands-on experience integrating data from multiple structured and unstructured sources such as relational databases NoSQL stores e g MongoDB streaming platforms e g Kafka and RESTful APIs Experience supporting production data pipelines including monitoring troubleshooting root-cause analysis and performance tuning Familiarity with version control systems Git CI CD pipelines and Agile Scrum development practices Experience delivering analytics and insights using BI and visualization tools such as Looker Tableau or Power BI Strong problem-solving skills with a keen attention to detail and a bias toward automation and reliability Excellent written and verbal communication skills with the ability to collaborate effectively across technical and non-technical stakeholders Strong time-management skills with the ability to manage multiple priorities in a fast-paced environment Preferred QualificationsExperience working in AWS or other major cloud ecosystems Exposure to real-time or near-real-time data processing and event-driven architectures Experience implementing data quality checks governance frameworks and security best practices Relevant industry certifications e g AWS Snowflake Databricks are a plus

📌 Lead Software Engineer (Karnataka)
🏢 Solera
📍 Karnataka