Jobs → Data & Analytics → Analytics Data Engineer

About the Role We are looking for an Analytics Data Engineer to join our team. This role focuses on building and optimizing data pipelines and developing interactive dashboards. Key Responsibilities • Build and optimize ETL/ELT pipelines integrating multiple data sources • Develop interactive dashboards using Power BI, Grafana, Splunk, QuickSight, or similar tools • Analyze complex datasets, define KPIs, and generate actionable insights • Monitor data quality, perform reconciliation, and conduct root cause analysis • Integrate engineering tools such as Jira, Bitbucket, GitLab, Jenkins, and Splunk Requirements • Strong hands-on experience with Python, Advanced SQL, and Data Engineering • Experience building and optimizing ETL/ELT pipelines • Strong knowledge of REST APIs, data transformation, data modeling, and incremental data loads • Expertise in data quality validation, reconciliation, root cause analysis, and pipeline monitoring • Ability to analyze complex datasets, define KPIs, and generate actionable insights • Strong debugging, testing, documentation, version control, and code review skills • Experience with Python frameworks such as Streamlit or Dash is a plus • Knowledge of software delivery metrics, DORA metrics, DevOps analytics, and engineering productivity is a plus • Ability to work independently, own end-to-end solutions, and mentor junior team members