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Senior Apache Spark Technical Lead - Scala, Python
Singapore, Singapore
Job Summary
In this role, you will support the Data Engineering team at Prudential Singapore in setting up the Data Lake on Cloud and the implementation of standardized Data Model, single view of customer. You will develop data pipelines for new sources, data transformations within the Data Lake , implementing graphql , work on no sql database, CI/CD and data delivery as per the business requirements.
Key Responsibilities
Job Description:
Build pipelines to bring in wide variety of data from multiple sources within the organization as well as from social media and public data sources.
Collaborate with cross functional teams to source data and make it available for downstream consumption.
Work with the team to provide an effective solution design to meet business needs.
Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
Ensure dependencies and challenges (risks) are escalated and managed. Escalate critical issues to the Sponsor and/or Head of Data Engineering.
Ensure timelines (milestones, decisions and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
Ensure final handover of initiative to business-as-usual processes, carry out a post implementation review (as necessary) to ensure initiative objectives have been delivered, and any lessons learned are fed into future initiative management processes.
Skill Requirements
Who we are looking for:
Competencies & Personal Traits
Work as a team player
Excellent problem analysis skills
Experience with at least one Cloud Infra provider (Azure/AWS)
Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL)
Experience in building streaming data pipeline using Apache Spark Structured Streaming or Apache Flink on Kafka & Delta Lake
Knowledge of NOSQL databases. Good to have experience in Cosmos DB, Restful API’s and GraphQL
Knowledge of Big data ETL processing tools, Data modelling and Data mapping.
Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
Basic knowledge of scripting (shell / bash)
Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
Basic understanding of DevOps practices using Git version control
Ability to debug, fine tune and optimize large scale data processing jobs
Working Experience
12-15 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.
Professional Qualifications
Certifications related to Data and Analytics would be an added advantage
Education
Master/bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics)
Language
Fluency in written and spoken English
Other Requirements
1.Relevant certifications in apache spark, scala, or python are a plus
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.
23BenefitsAt HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to:https://rmkcdn.successfactors.com/147eb21f/a701dca9-f32d-4fc9-9447-6.svgIndustry-benchmarked compensationhttps://rmkcdn.successfactors.com/147eb21f/b0c54381-ddcc-4a33-9b35-9.svgBest-in-class healthcare benefitshttps://rmkcdn.successfactors.com/147eb21f/b73027be-7aae-4d36-a090-4.svgPersonal time offhttps://rmkcdn.successfactors.com/147eb21f/d5b4fdfd-2e99-4e26-9878-9.svgMaternity and paternity benefitshttps://rmkcdn.successfactors.com/147eb21f/3d42b0fc-4652-435a-9ece-c.svgAccess to skills / higher education programs/resourceshttps://rmkcdn.successfactors.com/147eb21f/aeddeaf2-9e25-4584-ad11-d.svgDiscounts on products and services via Benefit Boxhttps://rmkcdn.successfactors.com/147eb21f/a9609a3b-2700-4b3c-9d90-a.svgParticipate in CSR programs and live life with a purposehttps://rmkcdn.successfactors.com/147eb21f/c6e33851-710f-4634-bd69-f.svgOpportunities to grow and advance your careerNote: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.
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