LOGIX TECHNOLOGYis a distinguished software services company, specializing in the provision of professional software development services, fostering strong partnerships through the establishment of offshore development centers, offshore product development, and software testing with an infrastructure-oriented approach. We excel at simplifying and enhancing offshore outsourcing, not only by delivering innovative solutions to meet our clients exact requirements through high-performance teams but also by significantly contributing to our clients success by reducing time-to-market and improving quality.
AtLOGIX TECHNOLOGY, we are committed to delivering the highest level of professional excellence and making a significant impact in the software development sector. If you are a dedicated professional looking to join a dynamic team working with global leaders, we encourage you to explore the exciting opportunities that await you with us.
Job Description
- Work with disparate datasets and technologies, integrating them into data warehouse structures suitable for use in our business analytics and data science solutions.
- Develop solutions in infrastructure (and/ or any equivalent opensource solution) to support data modeling and migration to existing applications.
- Guide discussions with clients on data quality issues and data cleaning activities needed for successful data migration.
- Work within a sprint-based agile environment to complete tasks across a range of Azure data services and framework.
- Independently explore and solve complex problems and issues that block key initiatives.
- Communicate task progress and risks to clients project management in a timely manner.
- Leverage your ability to communicate constructively, courteously, and professionally.
- Learn our business and the specific needs of our clients.
Required Skills & Experiences
- Minimum 5 years of experience in data engineering roles focusing on designing and developing data integration, storage, and analytics solutions.
- Experience using ETL/ELT tools and techniques, preferably with Azure Data Factory and other Azure technologies (and/ or any equivalent opensource solution).
- Proven experience working with data conversion and migration including Microsoft SQL Server, XML, CSV, Access Databases, Microsoft Excel Spreadsheets, and the ability to migrate from new data sources.
- Working knowledge of Microsoft SQL Server, including creation, maintenance, and debugging of T- SQL scripts and stored procedures (and/ or any equivalent opensource solution).
- Experience with Azure data solutions for relational data and analytics (Azure SQL and Postgres Databases, Data Lake, Synapse Analytics) and/ or any equivalent opensource solution.
- Bachelors degree in computer science, mathematics, a related field, or equivalent experience.
How Youll Stand Out
- Recent project experience working with Azure data services (Data Factory, Managed SQL, Blob Storage, Databricks or Microsoft Fabric, Synapse, and Power BI) and/ or any equivalent opensource solution.
- Experience with Python and Jupyter notebook.
- Experience with code management, change management, and deployment processes.
- Create, monitor, and maintain critical data ETL pipelines using Azure Data Factory and Azure Functions ensuring functionality, reliability, and high performance (and/ or any equivalent opensource solution).
Benefits & Perks
- Attractive Salary & Benefits, full salary in probation.
- Performance appraisal twice a year, 13th-month salary.
- Healthcare and incident insurance.
- 16 Paid Leave days / year (12 Annual Leave, 02 Summer Leave ,01 Birthday Leave & 01 Christmas Leave).
- Company trip, annual year-end party, team building activities.
- Diverse careers opportunities with Software Services, Software Product Development.
- Working and growing in a value driven, international working environment and standard Agile culture with passionate and talented teams.
- Various training on hot-trend technologies, best practices, and soft skills.
- Free in-house entertainment facilities: football, table football, PS, badminton, trekkingcoffee, and snacks (instant noodles, cookies, candies).
