SL2408 - Data BAU Lead
# SL2408 - Data BAU Lead **FPT Asia Pacific Pte Ltd** · Singapore · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Data-Lead]` `[Data-Platform-Engineer]` `[Data-Operations-Lead]` `[BAU]` --- ### About the Role Responsibilities 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 on several 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 Key Skills - 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. - Should have the vision on data strategy and able to deliver the same. - Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation. - Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement. - To evaluate and recommend data-related technologies, tools, and platforms. - Collaborate with IT teams to ensure seamless integration of data solutions. - Should have experience in Implementing and enforcing data security protocols and ensure compliance with relevant regulations. Required Qualifications - At least 8+ years of Data Engineer Experience. - Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field. - 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. - At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions. - Professional experience working in an agile, dynamic and customer-facing environment is required. - Understanding of distributed systems and cloud technologies (AWS) is highly preferred. - Understanding of data streaming and scalable data processing is preferred to have. - Strong knowledge in scripting languages like SQL, Python, UNIX shell and Spark is required. - Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc. - Technical expertise with data models, data mining and segmentation techniques. - Experience with full SDLC lifecycle and Lean or Agile development methodologies. - Knowledge of CI/CD and GIT Deployments. - Ability to work in team in diverse/multiple stakeholder environment. - Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams. Soft Skills - Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high quality maintainable solutions. - Excellent communications and stake-holder management are required. - Ability to handle senior leadership and report to them if required. - Ability to work in a dynamic, agile environment within a geographically distributed team. - Ability to focus on promptly addressing customer needs. - Ability to work within a diverse and inclusive team. - Technically curious, self-motivated, versatile and solution-oriented. Originally posted on Himalayas
- Data-Engineer
- Data-Lead
- Data-Platform-Engineer
- Data-Operations-Lead
- BAU
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Himalayas (JSON API).