Data Cloud Engineer

Looking for an exceptional individual and has a proven track record in conceiving and delivering Data Warehouse solutions at company-wide scale.

• 8+ years of data engineering experience in a fast-paced company that delivers software, with the understanding of SDLC methodologies.
• Strong understanding of engineering best practices, analytical and problem-solving, design principles and agile methods.
• A good understanding of designing and building highly scalable Data warehouses, Data pipelines, Data Modelling, designing Data Lakes and Big Data Analytics using NoSQL, and programming languages (like Python, Java, Scala).
• Experience in building petabyte scale distributed systems using technologies like Hadoop, Hive, Spark, Snowflake, Presto, Redshift, Cassandra, MongoDB, Kafka and streaming. Databricks, Snowflake, Segmentation experience is desired.
• Excellent communication, collaborative demeanor and ability to work in distributed, multi-functional teams with the ability to articulate a point of view.
• Required to perform on-call duties in a data-ops / DRE environment.
• Bachelor's/Master’s degree in Computer Science required, or equivalent experience

What?

As a Tech Lead, Data Engineer, you will live :Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.

• Develop set processes for data mining, data modelling, and data production.
• Collaborates with Data Architects and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key partners and business processes that depend on it.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to solve data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Designs data integrations and data quality framework.
• Prepare accurate database design and architecture reports for management and Business teams.
• Be responsible for the migration of data from legacy systems to new solutions.
• Monitor the system performance by performing regular tests, solving problems and integrating new features.
• Recommend solutions to improve new and existing database systems.
• Educate staff members through training and individual support.
• Offer support by responding to system problems in a timely manner.