Careers

Location: Ahmedabad, India

• Minimum 3 years’ experience in architecting and implementing large-scale data intelligence solutions around Snowflake Data Warehouse.
• Developing ETL pipelines in and out of data warehouse using a combination of DBT , Airflow and python
• Experience in writing SQL queries against Snowflake.
• Developing Dags in Airflow and Transformation queries in DBT.
• Knowledge of Testing tools.
• Data pipelines and modern ways of automating data pipeline using cloud-based Testing and document implementations.
• Experience with building production sized data ingestion and processing pipelines using Java, Spark, Scala, Python.
• Databases such as MSSQL, MySQL, Oracle or DB2 Expertise and excellent understanding of Snowflake Internals.
• Snowflake with other data processing tools and reporting technologies
• Excellent presentation and communication skills.
• Should be SnowPro Core or Snowpro Advanced: Data Engineer or Snowpro Advanced: Data Analyst certified.

Location: Ahmedabad, India

Experience: 5+ Years

• Design, develop, and maintain a robust real time bidding system that efficiently handles high volume bid requests in the retail media landscape.
• Implement bidding strategies that optimize for KPIs while considering factors such as budget constraints, targeting criteria, and user behaviour.
• Create advanced machine learning algorithms and optimization techniques to improve ad targeting, relevancy, and user engagement, extending to traffic shaping algorithms that will help increase fill rates.
• Utilize data mining and statistical analysis to identify patterns, trends, and opportunities for enhancing bid optimization strategies.
• Optimize and scale the bidding infrastructure to accommodate increasing demand and handle real time auctions efficiently.
• Engage in technical architecture discussions, solve ambiguous problems, and execute on a solution with a diverse team of engineers and product owners.
• Work directly with cutting edge machine learning and distributed computing technologies in a highly scalable, cloud-based environment to optimize metrics related to Real-Time Bidding (RTB).
• Develop and maintain a deep understanding of the advertising industry to guide decisions about our technical approach and key features to implement.
• Use technology to innovate and implement various ad tech features, privacy frameworks and setup integrations with external partners.

Qualifications:

• Data Science / ML Engineer with 5+ years of experience.
• B.S. in Computer Science preferred or equivalent experience.
• Must have experience in a high-volume transaction system > 100k transactions/second.
• Must have experience in Real-Time Bidding (RTB) AdTech domain with successful implementation of Ad Products at an AdTech company.
• Solid understanding of machine learning techniques, including supervised and unsupervised learning, and experience applying them to solve real-world problems.
• Strong grasp of advertising technologies like Demand-Side Platforms (DSPs), Supply Side Platforms (SSPs), and real-time bidding protocols (OpenRTB).
• A history of successfully shipping products related to AdTech RTB into production.
• Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and distributed computing principles.
• Excellent problem-solving skills, analytical mindset, and attention to detail.
• Strong communication and teamwork skills, with the ability to explain complex concepts to non-technical stakeholders.

Benefits and Perks:

• Flexible Shift timing with lucrative compensation.
• Transparent Appraisal Process.
• Exclusive Soft Skill & Technical Training by Experts.
• Insurance Coverage
• Best Culture
• 5 Days of Working