Data Analyst Engineer

This role is for one of the Weekday's clients

Salary range: Rs 500000 - Rs 800000 (ie INR 5-8 LPA)

Min Experience: 3 years

Location: Bengaluru

JobType: full-time

Requirements

Data 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