Posted:5 days ago|
Platform:
Work from Office
Full Time
Key Responsibilities
• Data Architecture Design: Design and implement large-scale data architectures, including data warehouses, data lakes, and data pipelines.
• ETL Processes: Develop, maintain, and optimize ETL processes to ensure efficient data extraction, transformation, and loading from various sources.
• Data Pipeline Management: Build and manage data pipelines for real-time and batch data processing, ensuring high performance and reliability.
• Cloud Management: Work with cloud-based services (AWS, Azure, GCP) to deploy and manage data infrastructure.
• Data Quality and Security: Ensure data accuracy, integrity, and security by implementing quality control procedures and access controls.
• Collaboration: Collaborate with data scientists, analysts, and software engineers to deliver relevant data sets and support business intelligence initiatives.
• Machine Learning Model Deployment: Assist in deploying machine learning models into production environments.
• Performance Optimization: Monitor data infrastructure performance and implement optimization strategies to improve efficiency and scalability.
• Documentation and Knowledge Sharing: Document data pipelines, processes, and best practices for knowledge sharing across the team Required Qualifications:
• Experience: 3-6 years of experience in a data engineering role
Manasa Mitr Management Consultancy
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
bengaluru
3.0 - 4.0 Lacs P.A.
30.0 - 32.5 Lacs P.A.
bengaluru
Experience: Not specified
1.0 - 6.0 Lacs P.A.
hyderabad
4.0 - 8.0 Lacs P.A.
pune, chennai, bengaluru
0.5 - 2.25 Lacs P.A.
bengaluru
10.0 - 20.0 Lacs P.A.
pune
5.0 - 10.0 Lacs P.A.
hyderabad
0.8 - 1.25 Lacs P.A.
hyderabad
0.8 - 1.25 Lacs P.A.
hyderabad
1.0 - 4.0 Lacs P.A.
