Senior Data Engineer - Bangalore
Bengaluru, Karnātaka, India
ClanX
Hire talented engineers, product designers, and product managers from India with ClanX. Connect with skilled professionals quickly and build your team with the best talent India has to offerHiring a Senior Data Engineer to build and optimize data pipelines, manage large-scale data systems, and support analytics initiatives.
Company Details
Amplify Analytix is a data analytics consultancy that helps businesses make data-driven decisions through custom solutions and expert insights.
Website: https://amplifyanalytix.com/
Requirements
• Bachelor's in Computer Science, Data Science, or related field
• 5+ years of data engineering experience
• Hands-on with data warehousing and lake tools like Databricks, Apache Spark, Azure Data Lake, Blob Storage
• Proficient with relational databases like PostgreSQL, MySQL, MS SQL Server
• Strong experience with Azure Data Factory and Azure cloud stack
• Strong knowledge of data modeling principles
• Proficient in Python
• Additional skills (any is a plus): DevOps practices, Linux, Hadoop, Docker, indexing and performance optimization
• Strong communication and collaboration skills
• Proficient English communication (written and spoken)
• Detail-oriented and technically strong
• Customer-oriented mindset
• Mentorship experience is a plus
Responsibilities
• Design and build scalable data pipelines
• Manage data lakes and warehouses
• Integrate data from various sources for analytics and reporting
• Optimize data structures and tables for performance
• Collaborate with stakeholders to meet data needs
• Support and improve cloud-based data solutions
• Maintain high-quality documentation and code standards
Job Details
Job location: Bangalore (Hybrid – 3 days in office, initial 10 days in-office for KT)
Interview Process
• Screening - ClanX
• Technical Round - Amplify team
• Management Round - Managing Partner's Round
Important Note
ClanX is a recruitment partner, helping Amplify Analytix hire Senior Data Engineer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data Analytics Databricks Data pipelines Data Warehousing DevOps Docker Engineering Hadoop Linux MS SQL MySQL Pipelines PostgreSQL Python RDBMS Spark SQL
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