Job Opportunities API

We are looking for a seasoned BAU Lead - Data Engineering to lead our data operations and support function in a cloud-first environment. The ideal candidate will bring strong technical leadership, hands-on expertise in AWS and Snowflake, and proven experience in managing Business-As-Usual (BAU) data platforms, production support, and continuous improvement initiatives. ▪ Develop tools to improve data flows between internal/external systems and the data lake/warehouse. ▪ Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility. ▪ Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources. ▪ Understanding existing data applications and infrastructure architecture ▪ Build and support new data feeds for various Data Management layers and Data Lakes ▪ Evaluate business needs and requirements. ▪ Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake. ▪ Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc. ▪ Able to document the processes and steps. ▪ Develop and maintain datasets. ▪ Improve data quality and efficiency. ▪ Lead Business requirements and deliver accordingly. ▪ Collaborate with Data Scientists, Architect and Team onseveral Data Analytics projects. ▪ Collaborate with DevOps Engineer to improve system deployment and monitoring process. ▪ Experience in critical production support and how the BAU functions is preferred. Requirements ▪ At least 8+ years of Data Engineer Experience. ▪ At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue. ▪ 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred. Lead a team of data engineers in managing day-to-day BAU operations, production support, incident management, and platform stability. ▪ Strong AWS knowledge in terms of designing new architecture and providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA, AMS, IAM). ▪ In-depth knowledge with respect to Snowflake and its architecture. ▪ Prefer prior Experience in BAU environment. ▪ Good knowledge on Airflow and MWAA. ▪ Hands-on experience in SQL/Python/Pyspark. ▪ Expertise in optimizing techniques in cloud environments