Data Analyst Engineer

This role is for one of the Weekday's clientsSalary range: Rs 500000 - Rs 800000 (ie INR 5-8 LPA)Min Experience: 3 yearsLocation: BengaluruJobType: full-timeRequirementsData Engineering: Design, build, and maintain robust ETL/ELT pipelines for data integration and transformation. Develop and manage data lakes, data warehouses, and data marts to support analytics and reporting needs. Build efficient and scalable data models ensuring structured, high-quality datasets. Support both real-time and batch data processing (experience with Spark, Kafka, or Hadoop is a plus). Ensure data quality, governance, and security while optimizing performance across systems. Collaborate with technology and AI teams to provide clean, reliable data for machine learning workflows. Analytics & Reporting: Conduct exploratory data analysis (EDA) to uncover insights and trends. Develop interactive dashboards and performance reports using Power BI, Tableau, or Looker. Translate raw data into actionable insights and key performance metrics for business teams. Perform in-depth analyses to support product, business, and growth strategies. Automate reporting systems and create KPI monitoring dashboards. Present findings and recommendations clearly to technical and non-technical stakeholders. Required Skills: Proficiency in Python (with Pandas, NumPy, and PySpark preferred). Advanced SQL skills, including writing complex queries and optimizing performance. Experience with ETL tools such as Azure Data Factory, Airflow, or Pentaho. Hands-on experience with Databricks or Azure Synapse. Strong knowledge of Power BI, Tableau, or Looker for business intelligence reporting. Deep understanding of data modeling, pipeline architecture, and data warehousing concepts. Experience working on Azure, AWS, or GCP platforms. Excellent analytical thinking and communication skills. Good to Have: Exposure to ML/AI data pipelines and API-based data integrations. Familiarity with CI/CD, Git, and DevOps practices. Understanding of data security, compliance, and data privacy principles. Basic knowledge of statistics or predictive modeling. Core Skills:Data Analytics | Data Governance | EDA | Power BI | Python | NumPy | PySpark | Tableau | Azure Data Factory | SQL | ETL | Data Modeling