Data integration - Database engineer Remote

Technologies

• Experience with Database Management Systems such as MySQL, PostgreSQL, Oracle
• Proficiency in ETL tools like Apache Nifi, Talend
• Skilled in using Data Modeling tools like ERwin, ER/Studio
• Knowledge of Programming languages such as SQL, Python
• Familiarity with API development and data integration tools
• Experience with Database performance tuning and monitoring tools
• Experience with Database Management Systems such as MySQL, PostgreSQL, Oracle
• Proficiency in ETL tools like Apache Nifi, Talend
• Skilled in using Data Modeling tools like ERwin, ER/Studio
• Knowledge of Programming languages such as SQL, Python
• Familiarity with API development and data integration tools
• Experience with Database performance tuning and monitoring tools

Responsibilities

• Data Modeling and Database Design: Design database structures to create schemas, tables, and relationships for optimized data storage and retrieva
• Data modeling: Develop conceptual, logical, and physical data model
• ETL (Extract, Transform, Load) Processes: Pull data from various sources, including databases, APIs, and files. Clean, normalize, and transform data into a usable format. Load processed data into storage systems
• Database Management and Optimization: Monitor and manage database performance, security, and integrity. Optimize queries and configurations for efficient data retrieval and storage
• Data Integration: Ensure seamless data integration from disparate systems. Develop and maintain APIs and data pipelines for continuous data flow
• Data Quality and Governance: Implement processes for data validation and verification. Establish policies for data management, security, and privacy
• Collaboration and Communication: Work with stakeholders to understand data requirements and deliver solutions. Create and maintain technical documentation for data processes and schemas

Requirements

• Proven experience in database design, development, and management
• Strong skills in data modeling and database optimization
• Proficiency in ETL processes and tool
• Experience with database performance tuning and troubleshooting
• Ability to develop and maintain APIs and data pipelines
• Strong understanding of data quality and governance principles
• Excellent collaboration and communication skills
• Ability to create and maintain detailed technical documentation

Nice to have

• Experience in designing and developing data warehouses
• Knowledge of cloud-based database services like AWS RDS, Google Cloud SQL
• Familiarity with data visualization tools like Tableau, Power BI
• Experience with big data technologies like Hadoop, Spark
• Client-facing written and oral communication skills

We offer

• Career plan and real growth opportunities
• Unlimited access to LinkedIn learning solutions
• International Mobility Plan within 25 countries
• Constant training, mentoring, online corporate courses, eLearning and more
• English classes with a certified teacher
• Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
• Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
• Flexible work schedule and dress code
• Collaborate in a multicultural environment and share best practices from around the globe
• Hired directly by EPAM & 100% under payroll
• Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
• Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
• 13 % employee savings fund, capped to the law limit
• Grocery coupons
• 30 days December bonus
• Employee Stock Purchase Plan
• 12 vacations days plus 4 floating days
• Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
• Monthly non-taxable amount for the electricity and internet bills