Information Technology
Full-Time
Birlasoft
Overview
Area(s) of responsibility
Data engineer-GCP
Data engineer-GCP
- Extracting and Migrating Data from Various Data Sources:
- Extracting Data: This involves pulling data from different sources such as databases, APIs, flat files, or cloud storage. The goal is to gather all relevant data needed for analysis or application use.
- Migrating Data: This refers to transferring data from one system to another, ensuring that the data remains intact, accurate, and accessible. This process often includes data cleaning, transformation, and loading (ETL).
- Coordinating with Various Teams for Data Management in Projects:
- Team Collaboration: You will work closely with different teams, such as data analysts, data scientists, and IT staff, to ensure that data is managed effectively throughout the project lifecycle.
- Data Governance: Ensuring that data policies and standards are followed, maintaining data quality, and managing data access and security.
- Coordinating with Business to Understand Business Data for Application Management:
- Business Liaison: Acting as a bridge between the technical team and business stakeholders to understand their data needs and requirements.
- Data Requirements Gathering: Collecting and documenting business data requirements to ensure that the application meets business objectives.
- Coordinating with Infrastructure Team for Infrastructure Provisioning in Application:
- Infrastructure Coordination: Working with the infrastructure team to ensure that the necessary hardware and software resources are available for the application.
- Provisioning: Setting up and configuring servers, databases, and other infrastructure components needed for the application to run smoothly.
- Technically Leading Application Team for Various Technical Activities:
- Technical Leadership: Providing guidance and direction to the application team on technical matters, ensuring that best practices are followed.
- Problem Solving: Addressing technical challenges and finding solutions to ensure the successful delivery of the application.
- Business Process Understanding of the Application:
- Process Analysis: Understanding the business processes that the application supports, identifying areas for improvement, and ensuring that the application aligns with business goals.
- Process Optimization: Working to streamline and optimize business processes through the application.
- Spark and Scala Experience
- BigQuery, DataProc, DataFlow, and Google Cloud in Data Engineering
- BigQuery
- DataPro, DataFlow:
- Python Libraries for Data Analytics & Engineerin- Pandas, NumPy, Libraries,SciPy, Matplotlib & Seaborn AND Scikit-learn
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