Senior Data Engineer, Salesforce

🕒 March 17

🏢🏡 Bangalore – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of Brillio

Brillio

WebsiteLinkedIn

1001 - 5000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

💰 Private Equity Round on 2019-01

Artificial Intelligence • Consulting • Cybersecurity

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Design, develop, and maintain DBT models, transformations, and SQL code for analytics and reporting • Build scalable and efficient ETL pipelines using DBT and other relevant tools • Write complex and high-performance SQL queries to process and analyze large datasets • Develop clean, scalable, and efficient code using Python, with strong hands-on experience in Pandas and NumPy • Optimize data pipelines for performance, scalability, and cost efficiency • Troubleshoot and resolve ETL and data pipeline performance issues • Develop scripts using Unix Shell scripting, Python, and other scripting tools for data extraction, transformation, and loading • Write and optimize Snowflake SQL queries and support Snowflake implementations • Work with orchestration tools such as Airflow or similar workflow management platforms • Integrate user-facing elements into applications where required • Collaborate with internal stakeholders to understand business requirements and translate them into technical solutions • Ensure data quality, validation, and testing within DBT workflows

🎯 Requirements

• 5+ Years of experience in DBT and Python • Strong programming expertise in Python (mandatory) • Advanced proficiency in SQL, including writing complex queries on large datasets • Hands-on experience in designing and maintaining ETL pipelines • Experience in Unix Shell scripting • Strong understanding of data warehousing concepts and best practices

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