LatentView Analytics—Senior Analyst - Data Engineering

Job description

Description: Designation : Senior Analyst - Data Engineering Level : L2 Location : Bengaluru, Karnataka , India (BLR) Experience : 3 to 5 Years Job Role : We are looking for a Data Engineer with strong hands-on expertise in SQL, Python, and big data technologies. In this role, you will work closely with senior team members and cross-functional stakeholders to design, build, and test core data pipelines, database structures, and analytical engines. You will contribute directly to the day-to-day software development lifecycle in a modern big data ecosystem. Responsibilities : Development & Testing: Develop, unit test, and maintain efficient ETL/ELT pipelines and software applications using the client’s technology stack. Data System Building: Contribute to the build-out of data systems, databases, and data warehouses, ensuring compliance with data governance guidelines. Stakeholder Collaboration: Collaborate with cross-functional stakeholders to understand immediate business requirements and turn them into scalable data assets. Support & Maintenance: Monitor performance, troubleshoot pipeline issues, optimize standard SQL queries, and ensure smooth data ingestion cycles. Problem Solving & Delivery: Actively contribute to overall project delivery, demonstrating strong analytical, communication, and collaborative team skills. Required skills : Primary Skills: Strong SQL, Python, PySpark, Data Warehousing Concepts, Hadoop Concepts (HDFS, Hive), ETL Data Pipelines. Secondary Skills: Airflow / Task Scheduling, Spark, Cloud Fundamentals (AWS / Azure / GCP), Exposure to AI/GenAI tools for code optimization. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.