Data Engineer - Mid-level/Senior

. Possess a degree in Computer Science/Information Technology or related fields.
. At least 3 years of experience in a role focusing on development and support of data ingestion pipelines.
. Experience with building on data platforms, e.g. Snowflake.
. Proficient in SQL and Python.
. Experience with Cloud environments (e.g. AWS).
. Experience with continuous integration and continuous deployment (CICD) using GitHub.
. Experience with Software Development Life Cycle (SDLC) methodology.
. Experience with data warehousing concepts.
. Strong problem-solving and troubleshooting skills.
. Strong communication and collaboration skills.
. Able to design and implement solution and perform code review independently.
. Able to provide production support independently.
. Agile, fast learner and able to adapt to changes.

Responsibilities:
. Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
. Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming from multiple data sources using Python via different mechanisms such as API, Files transfer, direct interface with Oracle and MSSQL databases.
. Familiar with SDLC process: Requirement gathering, design and development, SIT testing, support UAT and CICD deployment using GitHub for enhancement and new ingestion pipeline.
. Ensure compliance with IT security standards, policies, and procedures.
Provide BAU support in terms of production job monitoring, issue resolution, and bug fixes.
. Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.