Senior Data Engineer

Responsibilities:

• Design, develop and automate large scale, high-performance distributed data processing systems (batch and/or real-time streaming) that meet both functional and non-functional requirements
• Deliver high level & detailed design to ensure that the solution meet business requirements and align to the data architecture principles and technology stacks
• Partner with business domain experts, data scientists, and solution designers to identify relevant data-assets, domain data model and data solutions. Collaborate with product data engineers to coordinate backlog feature development of data pipelines patterns and capabilities
• Own and lead data engineering projects; data pipelines delivery with reliable, efficient, testable, & maintainable artifacts, involves ingest & process data from a large number and variety of data sources
• Build, optimize and contribute to shared Data Engineering Frameworks and tooling, Data Products & standards to improve the productivity and quality of output for Data Engineers
• Design and build scalable Data APIs to host Operational data and Data-Lake assert in Data Mesh / Data Fabric Architecture.
• Drive Modern Data Platform operations using Data Ops, ensure data quality, monitoring the data system. Also support Data science MLOps platform

We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.

The Ideal candidate should possess:

• Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent
• Minimum of 8 years of experience in Data Engineering, Data Lake Infrastructure, Data Warehousing, Data Analytics tools or related, in design and developing of end-to-end scalable data pipelines and data products
• Experience in building and operating large and robust distributed data lakes (multiple PBs) and deploying high performance with reliable system with monitoring and logging practices
• Experience in designing and building data products and pipelines using some of the most scalable and resilient open-source big data technologies; Spark, Delta-Lake, Kafka, Flink, Airflow, Presto and related distributed data processing
• Excellent experience in using ANSI SQL for relational databases like – Postgres, MySql, Oracle
• and knowledge of Advanced SQL on distributed analytics
• Experience working in Telco Data Warehouse and / or Data Lake engines – Databricks SQL,
• Snowflake, etc
• Proficiency programming languages like Scala, Python, Java, Go, Rust or scripting languages like Bash