Looker / GCP Data & BI Engineer
Job Summary We are looking for an experienced Data & BI professional with 8–14 years of experience having expertise in any ONE of these combinations: 1) Looker + GCP Data Engineering, 2) Looker + ETL (SSIS/AWS/Amazon), or 3) GCP Data Engineering + Tableau/Cognos/Power BI. The candidate should have strong data engineering, ETL, BI/reporting, SQL and cloud data platform skills with experience in enterprise analytics solutions. Skills Required: Must-have skills need evidence in the CV — projects and responsibilities, not just keywords. ● Must-Have — needs evidenceLookerGCP Data EngineeringSQLData PipelinesETL● Good-to-HaveBigQueryPythonSpark / PySparkAirflowData Modelling Key Responsibilities Develop and maintain BI, data engineering and reporting solutions using Looker, GCP or enterprise BI/ETL platforms. Build data pipelines, ETL workflows, data models and dashboards; integrate multiple data sources and optimize SQL queries. Work with business teams to understand reporting needs, ensure data quality and performance, troubleshoot issues, and deliver scalable analytics solutions. Competencies Looker, Tableau, Power BI, Cognos GCP, AWS, Amazon Cloud GCP Data Engineering, BigQuery, Spark, PySpark SSIS, ETL/ELT, Data Pipelines SQL, Data Warehousing, Data Modelling Company Overview LTIMindtree is a leading global technology consulting and digital-engineering company created through the merger of LTI and Mindtree. With more than 80,000 employees operating across 40+ countries, the company delivers end-to-end services in cloud, AI, data, cybersecurity, ERP, and digital transformation. LTIMindtree works with some of the world’s largest enterprises across BFSI, tech, manufacturing, retail, and media. The organisation promotes innovation, learning, and internal mobility, offering employees exposure to complex global projects. For candidates seeking stability, scale, and fast growth in a modern technology environment, LTIMindtree is an excellent career destination. Pay: ₹2,000,000.00 - ₹3,200,000.00 per year Work Location: In person
Наблюдалась 2026-09-14, впервые 2026-09-05, источник — Indeed.