Data Engineer

2 days ago


Ahmedabad, India IQM Corporation Full time

Experience:

2 to 5 years


About IQM:

IQM is an industry-specific programmatic media buying and audience intelligence platform. Our proprietary AI-powered patent-pending cookie-less user identity graph identifies and analyzes online and offline user journeys with high accuracy. Thousands of brands and marketing agencies plan their campaigns using our "audience insights" tool and run them on our platforms for their key use cases in political, B2B, Sensitive, Retail, Travel, Healthcare, and BFSI industries. Our platform helps them reach their targeted audience in real-time, locally and globally, across devices and channels like mobile, desktop, CTV/OTV, native, and audio. We provide detailed insights on their campaign and extend their programmatic audiences to e-mail, social, search, SMS, and direct mail marketing. IQM is headquartered in New York, United States, and has offices in Canada and India.


Job Description:

As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure that powers our advertising technology platform. You will work closely with cross-functional teams to build scalable data pipelines, optimize data workflows, and ensure the reliability and performance of our data systems.


Responsibilities:

  • Design and implement scalable and robust data pipelines for ingesting, processing, and transforming large volumes of advertising data from multiple sources.
  • Develop and maintain data models, schemas, and databases to support analytics, reporting, and machine learning applications.
  • Collaborate with data scientists and analysts to understand data requirements and implement solutions for data storage, retrieval, and analysis.
  • Optimize data workflows and ETL processes to improve efficiency, reliability, and cost-effectiveness.
  • Stay updated on the latest developments in data engineering technologies and best practices, and propose innovative solutions to enhance our data infrastructure.


Requirements:

  • Bachelor’s degree or higher in Computer Science, Information Technology, or a related field.
  • Strong programming skills in languages such as Python.
  • Proficiency in SQL and experience working with relational databases such as PostgreSQL, MySQL.
  • Familiarity with big data technologies and tools such as Hadoop, Spark, Kafka, Airflow, or similar frameworks.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and knowledge of cloud-based data warehouses (e.g., Athena, Snowflake).
  • Understanding of software engineering principles, version control systems (e.g., Git), and agile development methodologies.
  • Excellent problem-solving skills with a strong attention to detail and the ability to work independently as well as part of a team.


Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work with cutting-edge technologies and industry experts.
  • Career growth and development opportunities in a dynamic and innovative work environment.


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