Senior Data Engineer (AWS/Data/GenAI)

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.

• Dive into unique and non-standard business problems, work closely with both technical and business teams, and apply creative problem-solving skills to deliver actionable insights.

• 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.