Skills

GCP, Big Data, Scala, Spark, Hive, ETL - Big Data / Data Warehousing, CI/CD, Maven, Jenkins, Git (GitHub, GitLab, BitBucket, SVN), SQL, RDBMS, PowerBI

Responsibilities

Provide thought leadership, engineering expertise and direction to engineering teams; collaborate with business stakeholders, product teams, and cross-functional technology groups to drive continuous delivery.Drive user story analysis and elaboration, design and develop software applications, and build/test automation tools.Own all technical aspects of software development (architecture, design, and development of systems) for assigned applications.Perform hands-on software development, including writing code, API specifications, proof-of-concepts, code reviews, and sprint testing.Drive consistent development practices, tools, and common components.Develop deep understanding of integrations with other systems and platforms within supported domains.Work with technical product managers on blueprints and annual feature planning.Identify opportunities for adopting recent technology to solve current and future challenges.Communicate effectively with internal and external business partners on solution design.

Functional Skills

Strong analytical and strategic thinking skillsAbility to interpret technical/business objectives and challengesPorting/Software ConfigurationAgile MethodologiesSoftware development/testingObject-oriented analysis and design across multiple platformsDesigning High Availability applicationsPreferredProduct Engineering Knowledge

Minimum Qualifications

Bachelor's Degree in Computer Science, Computer Science Engineering, or a related field required; advanced degree preferred.

Preferred Qualifications





4+ years of commercial software development experience.Proficient in developing and hosting solutions on Google Cloud Platform (Google Cloud Storage and BigQuery).Hands-on experience with Big Data platforms (Scala/Spark/Hive SQL) and Big Data Lake.Experience and proficiency in ETL (Extract, Transform, Load) processes, tools, and data modeling within Big Data platforms.Proficiency in Secure File Transfer (SFT) operations and utilization in data management.Experience with Agile development, Continuous Integration, and Continuous Delivery (CI/CD).Experience with automated release management using Maven, Salt, Git, and Jenkins.Experience in architecture design and modeling of complex systems and architectures.Good understanding of web technologies (HTTP, Apache) and Unix/Linux.Good understanding of data structures, algorithms, and design patterns.Strong written communication and documentation skills.Proactively identifies continuous improvement opportunities.Strong leadership and stakeholder collaboration skills.Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

Secondary Skills

Design and develop end-to-end business intelligence solutions using the Power BI stack.Define and implement robust data models, metrics, and KPIs to support reporting and advanced analytics.Design, develop, and optimize scalable multidimensional and tabular data models to enable interactive analytics and reporting.Demonstrate strong proficiency in DAX, Power Query, and SQL, along with expertise in designing intuitive and visually compelling Power BI dashboards and reports to drive data-driven decision-making.Troubleshoot, debug, and optimize BI solutions (reports, cubes, and semantic models) to ensure high performance, scalability, and reliability.Develop and maintain BI frameworks, semantic layers, and metadata repositories to support data governance, standardization, and administration.

📌 Data Engineer (Chennai)
🏢 Deloitte Legal
📍 Chennai