Job Title: Data Engineer
Role: Data Engineer
Experience: 5+ years
Location: Bangalore,
Overview:
We are looking for an experienced Data Engineer with 58 years of hands-on experience in building and managing data pipelines, data warehouses, and business intelligence solutions across cloud and on-premise environments.
Responsibilities
- Develop, maintain, and improve data solutions across data warehouses, data lakes, and cloud platforms such as Snowflake, Azure, and Databricks.
- Build end-to-end BI solutions including data extraction, ETL processes, data transformation, and dashboard enablement.
- Write and optimize complex SQL queries and create scripts using Python and Unix shell scripting.
- Work with MongoDB and Prometheus NoSQL databases for data insertion, extraction, and management.
- Convert business requirements into meaningful dashboards and visual reports using Power BI or Tableau.
- Orchestrate data movement and transformations across Azure services (Databricks, Blob Storage, Data Lake) and Snowflake, ensuring data quality, security, and compliance.
- Collaborate with cross-functional development and operations teams.
Requirements
- Full life-cycle experience in enterprise software development projects.
- Strong knowledge of relational databases, data warehouses, data marts, and complex SQL programming.
- Extensive experience with ETL processes, data modeling, data preparation, and scripting (Python, Shell).
- Proficient in Unix/Linux systems and shell scripting.
- Hands-on experience with Power BI or Tableau for BI reporting.
- Strong problem-solving and analytical abilities.
- Ability to work independently and collaboratively, take ownership, and drive data-driven decisions.
- Good communication and presentation skills to deliver analytical insights and recommendations.
Required Skills
- MongoDB
- Prometheus
- RDBMS & Data Warehousing
- SQL Programming & ETL
- Unix/Linux Shell Scripting
- Power BI or Tableau
- Python, Shell, Awk
Interested candidates send your resumes to #[Confidential Information]