Location
Secunderabad | India
Job description
About Aeries
Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees. Read about us at
This is a job description for one of Aeries' preferred partner - Victory Live. In this role, you will be working directly for our partner – as an employee of Aeries.
About Victory Live,
Headquartered in Atlanta and backed by Clearlake Capital, Victory Live is the culmination of the strategic combination of Ticket Evolution, DTI Management and 1Ticket – each renowned for their expertise in supporting rights holders, affiliate partners, global exchanges and ticketing professionals across sports, music and theater. These entities play a crucial role in delivering a seamless and efficient ticket selling experience for our clients and together are responsible for setting new standards in the live entertainment realm through advanced software solutions and data-driven insights.
Read about us at:
- Build data pipeline between source systems (RDS/SQL Server) to Snowflake on AWS
- ETL data into AWS S3
- ELT Data into Snowflake
- Realtime data integration through CDC and AWS managed Kafka streams.
- Embedded Tableau reporting
- Data transformations using SQL, Python, PySpark, and DBT
- Through understanding of data engineering principles including data lakes, and data warehouse
- Data orchestration using Apache Airflow
- Data Analysis skills
- Best practices in data management, data quality and data stewardship were applied to ensure data integrity and reliability.
- Optimize data pipelines for productivity and efficiency by considering factors such as scalability, reliability, and cost effectiveness.
- Troubleshoot and resolve data infrastructure and pipelines in a timely manner.
Here's What You'll Do:
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- Proven experience (6-10 years) as a Data Engineer
- Proficiency in SQL for data extraction, transformation, and analysis across various database systems.
- Strong programming skills in Python for data manipulation, scripting, and building data engineering solutions.
- Experience in Tableau for data visualization, dashboard creation, and presenting insights.
- Hands-on experience with PySpark for large-scale data processing and analysis.
- Familiarity with Apache Airflow for workflow management and automation.
- Practical knowledge of AWS services like S3, EC2, EMR, etc., for building data solutions.
- Understanding and usage of Kafka for real-time data streaming and processing.
- Specific expertise in Kafka Streams for advanced data stream processing.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and collaboration skills with a proactive attitude towards learning and implementing new technologies.
Job tags
Salary
