Senior Data Engineer
2 weeks ago
**Company Overview**:
At **TechX**, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on **Cloud Transformation (AWS)**, **Data Modernization**, and **Generative AI**, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients.
We specialize in **banking and financial services, retail, manufacturing, and transportation**, delivering impactful solutions that address industry-specific challenges and significant market shifts.
Together, we’ll build a future where innovation knows no limits.
**As a **Senior**Data Engineer** at TechX, you'll be at the forefront of delivering world-class data platforms, data modernization and data analytics solutions, utilizing the most advanced architecture and cloud services for our esteemed customers.
**Key Responsibilities**:
- Collaborate with TechX Data Architect, Data Engineer, Data Analyst, and Data Scientist to design, implement, and tackle data warehouse, data analytics and Data Lake challenges on a massive scale, by leveraging modern microservices architecture and AWS data services.
- Focus on automation and optimization for all aspects of data platform maintenance and deployment, with a special emphasis on data pipeline, big data processing, data platform design, and self-service analytics.
**Key Requirements**:
- Bachelor's degree in computer science, Info Systems, Business, or related field.
- Minimum of **3 years in Data Engineering**:
- Experience with one or more query languages (SQL), schema definition languages (e.g., DDL), and scripting languages (Python and Terraform) to build innovative data solutions.
- Proficiency or first experience in technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, and extracting value from vast datasets.
- Exposure to distributed system concepts, particularly from a data storage and computing perspective (e.g., data lake architectures).
- Initial hands-on experience with AWS Big Data Services such as S3, Glue, Athena, Lambda, EMR, RDS, and Redshift.
- Familiarity with at least one business intelligence reporting tool (Tableau, Quicksight, PowerBI).
- Basic knowledge of DBA tasks and SQL performance tuning.
**What We Offer**:
- **Innovative Environment**: A dynamic and collaborative work environment where innovation is encouraged.
- **Professional Growth**: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies.
- **Competitive Package**: Competitive salary and benefits package
- **Impactful Work**:The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.
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