Rekruton Technologies

Positions: Data Engineer I &amp; II Timings: 5:30 PM IST to 3:30 AM IST (Remote 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&nbsp;of our data systems.
 Responsibilities: ● Design, develop, and maintain ETL pipelines to collect, process, and store data from various sources. ● Work with APIs, databases, and other data sources to integrate data into the data warehouse. ● Implement and maintain data validation and monitoring processes to ensure data accuracy and reliability. ● Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions. ● Transform raw data into a form that is easily usable for analysis and business intelligence. ● Maintain comprehensive documentation of data pipelines, processes, and systems. ● Optimize data systems and pipelines for performance and scalability.
 Requirements: ● Bachelor’s degree in Computer Science, Information Systems, or a related field. ● Minimum of 3 years of experience in data engineering or a related role. ● Proficiency in SQL and experience with at least one programming language such as Python. ● Experience with cloud-based data platforms (AWS, Azure, GCP) and services such as AWS Redshift or Google BigQuery. ● Knowledge of big data technologies like Hadoop, Spark, or Kafka is a plus. ● Experience with ETL tools such as Apache Airflow. ● Familiarity with data warehousing concepts and relational databases. ● Monitor and troubleshoot data pipeline issues, performance bottlenecks, and data quality issues in production environments. ● Implement data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements. ● Understanding of data modeling and database design principles. ● Strong problem-solving and analytical skills. ● Excellent communication and collaboration skills. ● Ability to work independently and manage multiple tasks and projects simultaneously. ● Detail-oriented and committed to data quality.