Senior Data Engineer

Manulife Financial; Makati; Hybrid; PHP 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Manulife Financial is seeking an experienced Senior Data Engineer to join the Asia Data Office in Manila. You will drive data operations, implement ETL/ELT flows using Spark, Python and Azure data services, and mentor teams in agile practices.

You will support data lake operations, tackle incidents, and contribute to data governance and compliance. The role is hybrid, offering collaboration with regional partners and opportunities to mature data solutions.

Qualifications

• 8+ years in data engineering, platform/DevOps or software engineering roles.
• Strong understanding of distributed computing and large data platforms.
• Proficient with Hadoop cluster or equivalent cloud data services on Azure.
• Experience with Azure ADLS, Data Factory, Databricks, Event Hubs.
• Knowledge of SQL warehouses and data governance concepts.
• Experience with Python and Spark for ETL/ELT workflows.

Responsibilities

• Select and integrate Big Data tools and frameworks to meet requirements.
• Implement ETL/ELT flows using Spark, Python, Azure data services.
• Monitor performance and advise infrastructure or code optimizations.
• Support business users in Enterprise Data Lake operations.
• Run POCs on new integration patterns and solutions.
• Maintain platform stability and performance of the EDL.
• Attend incidents and change requests; write technical docs.
• Perform unit and system integration tests; implement updates and patches.
• Support Agile delivery squads when required.

Skills

Distributed computing

Hadoop

Azure

Spark

Python

Azure Databricks

Azure Data Factory

Azure Synapse

Event Hubs

CDC (Debezium)

Tools

Hadoop

Azure SQL

Cosmos

Data Factory

Databricks

Job description

The Asia Data Office is looking for an experienced Senior Data Engineer to join our team to support our regional partners. If you have passion for data and a desire to drive quality data solutions within a data driven culture, then read on to learn more about this opportunity!

We are looking for the right individual who would be interested and enjoy the opportunity to support data operations, strong willingness to learn and build data operations skills through team collaboration, desire to drive and execute on our data strategy, willing to help mature our agile practices, and is looking for an opportunity to embrace technical, operational, and informal leadership roles on the team.

Position Responsibilities:

• Selecting and integrating any Big Data tools and frameworks required providing requested capabilities
• Implement ETL/ELT flows via Big Data Solutions i.e. Spark, Python, Azure Data Factory, Azure Synapse, Azure Databricks, etc.
• To be able to monitor the performance and advice necessary infrastructure changesor performance tuning in codes.
• Support business users in use of the Enterprise Data Lake (EDL) as part of BAU
• Perform POC on new integration patterns and solutions.
• Maintain and monitor platform stability and performance of EDL
• Attends to Incidents and change requests
• Write and maintain technical documentation
• Perform unit tests and system integration tests
• Executes updates, patches, and other activities required to maintain and enhance the operations of the EDL
• Supports the Agile delivery squads when required

Required Qualifications:

• 8 years of relevant experience in Dat Engineer, Platform Engineer, DevOps Engineer and Software Engineer
• Proficient understanding of distributed computing principles
• Good Knowledge of Hadoop cluster, Azure, with all included services
• Ability to solve any ongoing issues with operating the cluster
• Experience with Azure ADLS, Data Factory, Databricks, Event Hubs
• Experience with data engineering projects
  i.e. integration of data from multiple data sourcesto a target system
• Good knowledge of data querying tools – Azure Synapse Analytics, Databricks SQL Warehouse
• Knowledge in data streaming (e.g. Event Hubs, Spark)
• Knowledge in Python and Spark
• Knowledge in any Change Data Capture (CDC) solutions (e.g. Debezium)
• Experience in working on Agile projects is an advantage.
• Experience on Azure Cloud and/or other Cloud platforms
• Database development and management (e.g. Azure SQL, Cosmos)
• Good knowledge of insurance Data Domains (Policy, Claims, Underwriting, Customer, Finance & Distribution.
• Strong understanding of Data Governance, Regulations and Compliance

Preferred Qualifications:

• ITIL certification helpful
• Project management experience is an advantage.
• Understanding of the insurance and/or financial industry is an asset
• Experience with Alibaba Cloud, AI/BI, and/or GenAI is an advantage.

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 https://www.manulife.co.jp/ lをご覧ください。

マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、[e-mail]までご連絡をお願いします。

Working Arrangement

ハイブリッド勤務