Data Engineer

Botmet; India; A distancia; INR 3.000.000 - 3.500.000; Jornada completa

Descripción de la vacante

Botmet is seeking an experienced Data Engineer to design and maintain robust data pipelines using Snowflake, dbt, Azure Data Factory and Power BI. You will transform data, optimize data warehouses, and build interactive dashboards to empower business decisions.

You will collaborate with data analysts and engineers, implement data quality controls, versioning, and governance as part of scalable analytics platforms, while leveraging cloud services and modern data tooling.

Formación

• 7+ years of data engineering experience.
• Strong SQL and data modeling skills.
• Hands-on with Snowflake, dbt and ADF.
• Proficiency in Power BI reporting and dashboards.

Responsabilidades

• Design, develop, and maintain data pipelines using Azure Data Factory (ADF).
• Develop and optimize data models, transformations, and workflows using dbt.
• Work with Snowflake for data warehousing, SQL development, query optimization, and performance tuning.
• Build interactive dashboards, reports, and visualizations using Power BI.
• Integrate data from multiple sources and ensure data quality, consistency, and reliability.
• Implement ETL/ELT processes and optimize data processing workflows.
• Collaborate with business stakeholders, data analysts, and engineering teams to understand reporting and analytics requirements.
• Implement best practices for data security, governance, documentation, and version control.
• Troubleshoot data pipeline failures and resolve performance issues.

Conocimientos

Snowflake

Advanced SQL

dbt

Azure Data Factory

Power BI

Data warehousing

Data modeling

Git

Data integration

Pipeline monitoring

Herramientas

Git

Descripción del empleo

We are looking for an experienced Data Engineer with 7+ Years of experience and strong hands‑on expertise in Snowflake, dbt, Azure Data Factory (ADF), and Power BI. The ideal candidate will be responsible for developing data pipelines, transforming data, optimizing data warehouse performance, and building interactive dashboards to support business decision-making.

KEY RESPONSIBILITIES

• Design, develop, and maintain data pipelines using Azure Data Factory (ADF).
• Develop and optimize data models, transformations, and workflows using dbt.
• Work with Snowflake for data warehousing, SQL development, query optimization, and performance tuning.
• Build interactive dashboards, reports, and visualizations using Power BI.
• Integrate data from multiple sources and ensure data quality, consistency, and reliability.
• Implement ETL/ELT processes and optimize data processing workflows.
• Collaborate with business stakeholders, data analysts, and engineering teams to understand reporting and analytics requirements.
• Implement best practices for data security, governance, documentation, and version control.
• Troubleshoot data pipeline failures and resolve performance issues.

Requirements

Required Skills

• Strong hands‑on experience with Snowflake and advanced SQL.
• Practical experience with dbt for data transformation and data modeling.
• Experience developing ETL/ELT pipelines using Azure Data Factory (ADF).
• Proficiency in Power BI, including dashboards, reports, DAX, and data modeling.
• Understanding of data warehousing concepts, dimensional modeling, and star/snowflake schemas.
• Experience with data integration, data quality checks, and pipeline monitoring.
• Familiarity with Git and version control practices.
• Strong analytical, problem‑solving, and communication skills.

Preferred Skills

• Experience with Azure cloud services and modern data platforms.
• Knowledge of Python for data processing and automation.
• Understanding of CI/CD practices for data engineering workflows.
• Experience with performance optimization and large-scale data processing.