Job
Description
Skillsets And Attitudes Must have : Educational Background : Bachelors degree in computer science, Information Technology, or a related field. Technical Proficiency Hands-on experience with database technologies (e.g., Oracle, SQL Server, MySQL, PostgreSQL) with ability to work with large data sets Expertise in writing complex SQL queries for data manipulation and analysis Experience with one or more programming languages (e.g., Python, Java, C++, etc.). Strong understanding of data architecture principles. Skills in tuning database performance, including indexing, partitioning, and query optimization. Experience in implementing robust backup and recovery strategies Familiarity with cloud database services (AWS RDS, Azure SQL Database) is a must. Experience with data warehouses, distributed data platforms, and data lakes. Good To Have Certifications (Preferred, but not mandatory) : Certifications such as Oracle Certified Professional, Microsoft Certified Database Administrator, or equivalent are advantageous. Problem-Solving Skills : Strong analytical and problem-solving abilities. Adaptability : Ability to adapt to new technologies and changing requirements. Proficiency in data analytics and visualization tools Ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders. Excellent business and technical communication Your Core Role We're looking for a skilled Data Engineer to enhance our data systems. You will design and build the foundation of the data/analytics architecture for the organization. Your contributions will be vital in maintaining efficient and reliable database operations to support our organization's data needs. Key Responsibilities Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users. Drive standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses. Database Normalization to reduce redundancy, improve data integrity and design scalable database schemas Performance Tuning including indexing, partitioning, and query optimization. Review data organization and implement archival strategies to improve overall DB performance Database Security best practices and implement security measures Implement robust backup and recovery strategies. Troubleshooting to diagnose and resolve database issues effectively. Scripting and Automation (e.g., PowerShell, Python) for automating database tasks. What You Can Expect Five-Day workweek. Fair pay. The team will support you and push you. We will debate and question you. We will help you find what you are good at and let you take unilateral decisions there. We will prod you to get better at the things you are not good at. You will interact with our coordinators and field agents on the ground. You will also interact with decision-makers from within the social impact ecosystem. You will enable data driven business decisions, create aha moments through insights you generate, and create new opportunities through deep analysis using internal/ external data. You will use these insights to create better touchpoints that get the job done. You will need to get your hands dirty. You will be a part of discussion with teams like program delivery team, program management team, product team, CXOs and Engineering Team which means you will be working across disciplines. (ref:hirist.tech) Show more Show less
