Data Engineer - Spark / Tableau

Description : Data Engineer Analytics & Platform Development

Role Overview :

We are seeking a skilled Data Engineer to design, build, and maintain scalable data solutions that empower analytics, business intelligence, and machine learning initiatives.

The ideal candidate will be experienced in data architecture, pipeline development, and visualization, with a passion for transforming raw data into actionable insights.

You will collaborate with cross-functional teams to develop reliable, high-performing data systems that support enterprise-wide decision-making.

Key Responsibilities :

Data Engineering & Analytics :

• Design and maintain robust ETL pipelines for structured and unstructured data.
• Develop and optimize data lakes and warehouses using platforms such as Databricks, Azure Synapse, Snowflake, BigQuery, or Redshift.
• Ensure data quality, governance, and performance optimization across systems.
• Implement both batch and real-time data processing solutions using Spark, Kafka, or Hadoop.
• Translate business requirements into data models, metrics, and dashboards.
• Build interactive dashboards and visualizations using Power BI, Tableau, or Looker.
• Conduct exploratory data analysis and develop reports using Python and SQL.
• Collaborate with data science teams to prepare and deliver structured data for AI / ML models.

Collaboration & Documentation :

Required Skills & Expertise :

Preferred / Good-to-Have Skills

Key Skills :

(ref : hirist.tech)