| Job Title | Senior Analyst - Data Engineering |
|---|---|
| Category | IT |
| Location | Chennai |
| Company | LatentView |
| Description | Job description We are seeking a Senior Analyst Data Engineering with strong expertise in building scalable data pipelines and supporting advanced analytics use cases, particularly within data-driven and cloud-based environments. The role focuses on designing, optimizing, and maintaining end-to-end data pipelines, enabling predictive modeling and analytics through reliable, high-quality data. This is an Individual Contributor (IC) role with opportunities to collaborate closely with data scientists, analysts, and client-facing teams. Key Responsibilities Design, build, and maintain scalable, reliable, and high-performance end-to-end data pipelines (ETL/ELT). Develop and optimize complex SQL queries for data extraction, transformation, and reporting. Manage and transform large-scale structured and semi-structured datasets. Enable analytics and predictive modeling use cases by delivering clean, well-structured datasets. Utilize GCP services (Big Query, Dataflow, GCS, Dataproc, etc.) to enhance data processing and storage. Work with distributed and fault-tolerant data systems in cloud and traditional data warehouse environments. Document data pipelines, processes, and best practices to support knowledge sharing. Collaborate with cross-functional teams including data scientists, analysts, and engineers to understand data requirements. Work independently, owning deliverables end-to-end as an individual contributor. Continuously explore and adopt new tools, technologies, and best practices in data engineering. Required Skills & Expertise 3+ years of experience in Data Engineering Data Analytics roles. Strong hands-on expertise in SQL and Python . 3+ years of hands-on experience with GCP services such as Big Query, Dataflow, GCS, Dataproc. Proven experience building data pipelines from scratch in highly distributed, fault-tolerant systems. Experience working with relational and non-relational databases. Familiarity with Cloud SQL, Cloud Functions, Pub/Sub, Cloud Composer, and related services. Exposure to big data and open-source technologies such as Apache Spark, Hadoop, Kafka . Understanding of data requirements for machine learning and advanced analytics use cases. Strong documentation, communication, and collaboration skills. Inquisitive, proactive mindset with a passion for learning new tools and technologies. Comfortable working in dynamic environments with evolving and loosely defined problem statements. Why Join Us Opportunity to work on modern, cloud-native data platforms supporting advanced analytics and AI initiatives. Be part of a team building scalable data foundations for impactful business insights. Exposure to cutting-edge GCP, big data, and analytics technologies. A growth-oriented culture with continuous learning and hands-on ownership. |
| Salary | Not Disclosed |
| Last Date | 2026-02-28 00:00:00 |
| Apply Link | Click Here |
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