Senior Data Engineer
2 days ago
Job Title: Senior Data Engineer
Experience: 5-9 Years
Location: Bangalore
Notice Period: 0 - 30 Days
Job Description:
As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines, working with cutting-edge tools like Python, DBT, and Databricks. Your primary focus will be transforming raw data into meaningful insights, optimizing performance, and ensuring the integrity and availability of large datasets. You will collaborate closely with engineers, analysts, and stakeholders to deliver top-tier data solutions.
Key Responsibilities:
- Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Python and DBT for transforming raw data into meaningful insights.
- Advanced SQL Queries: Write optimized and complex SQL queries for data extraction, manipulation, and reporting to support data-driven decision-making.
- Data Lake Management: Manage large datasets in Data Lakes, ensuring data availability, integrity, and security.
- Databricks Integration: Develop and optimize data workflows in Databricks, leveraging Spark for efficient big data processing.
- Data Modeling: Build and maintain robust data models for accurate reporting and analytics on cloud platforms.
- Performance Optimization: Optimize ETL jobs, SQL queries, and data models to enhance performance and resource utilization.
- Collaboration: Work with data engineers, analysts, and other stakeholders to align data solutions with business objectives.
- Monitoring & Troubleshooting: Monitor data pipelines and resolve any issues to ensure smooth operation and timely data delivery.
Skills & Requirements:
- Proficiency in Python and Advanced SQL
- Experience with Data Build Tool (DBT)
- Expertise in Data Lake Management
- Hands-on experience with Databricks and Spark
- Strong understanding of Data Modeling and ETL optimization
Qualifications: B.Tech or M.Tech in any specialization, or MCA.
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