Senior Data Engineer

About RateGain

• Build and Maintain Taxonomy for Adara’s data assets across travel, experience, financial and identity data.
• Data structure optimization for both services and applications that rely on properly structured data to perform.
• Own data collection SDK from a data operations and taxonomy perspective.
• Work with data pipelining lead engineer to ensure proper handling of data as well as determine appropriate layer of data infrastructure to implement data transformations.
• Spikes of application data modeling work.
• Proactively analyze data flows to optimize, accelerate, and improve quality of those data flows for both downstream applications and usage in BI teams.
• Participate in weekly sprint ceremonies and agile processes.
• Collaborate with BI and other data users to improve data quality, data reliability and cost optimizations.
  

• 6-8 years of experience working in Data Engineering, Database Development, Data Modeling, Data Analytics and BI Engineering.
• Bachelors in Computer Science, MCA, or a related field.
  

• Domain experience in Identity, MarTech and other DaaS solution sectors a big plus.
• Experience in data gap assessments, mitigation strategies, and implementation of those strategies in a tactical prioritization.
  

Skills

• Experience working primarily in cloud services infrastructure such as AWS, GCP, Snowflake; GCP Preferred.
• Data Pipelining, Data Storage and Data processing in solutions such as Airflow, Cloud composer, GCP Dataflow, BigQuery, etc.
• Experience with Pub/Sub orchestration of data pipelines in major cloud platform.
• Hands on experience implementing enterprise level scalable data stacks.
• Mastery of Python, SQL, and Java programming including their data handling libraries.
• Significant experience with GCS, Big Query, Big Table, MYSQL, Postgresql and other databases.
• Ability to explore and visualize conclusions from data inquiries to collaborate with teammates.
  

• Problem-solving ability is the capacity to tackle complex or challenging situations.
• Effective in working independently and collaboratively in teams.
• Actively seeking out opportunities to learn, grow, and adapt to changing environments and technologies.
• Applies a variety of solutions to solve moderately complex problems.
• Quality orientation, attention to detail, and a passion for delivering high-quality solutions.