Were hiring a Data Engineer cum Analyst to build data pipelines, create dashboards, and extract actionable insights from log data. Provide strategic consultation on complex software engineering initiatives with broad organizational impact. Analyze and resolve multi-faceted engineering challenges involving novel or unprecedented factors. Design, develop, and optimize scalable ETL pipelines and data engineering solutions.

Collaborate with cross-functional teams to ensure compliance with internal policies, procedures, and regulatory requirements. Contribute to long-term planning and architecture decisions for data platforms.

Engage with client stakeholders to understand business needs and translate them into technical solutions. This role requires strong data engineering skills, analytical thinking, and hands-on experience with tools like BigQuery, Tableau/Power BI/ThoughtSpot, and Python-based log data.

Must-Haves :

- 5+ yrs in data engineering & dashboarding

- Expertise in log analytics, product & user metrics

- Strong in Google BigQuery

- Dashboarding with Tableau/Power BI/ThoughtSpot AI

- Experience with Python-based apps & logs

- Strong communication, problem-solving & collaboration

Nice-to-Haves :

- Exposure to GenAI, LLM, GCP, ThoughtSpot AI

- Experience with Spark/Hadoop, Informatica, or Azure Data Factory

- Familiarity with Agile & Git