Data Platform Engineer Big Data Cloud ETL
Taguig, National Capital Region
Posted 2 days ago
- Company:
- Hunter's Hub Incorporated
- Company Description:
- Hunter’s Hub Incorporated is a Sourcing and Headhunting company that was founded earlier on in the year 2018. The company prides itself in its ability to source and recruit only the best and brightest of each industry. Hunter’s Hub caters to numerous clients in a multitude of industries, and has a wide-range of candidate selections to suit any of our clients’ needs. Likewise, the company specialises in sourcing out highly skilled and multi-talented IT professionals because the company mostly caters to clients being widely known to be in the IT industry. Hunter’s Hub sets itself apart from the rest of the company in the industry due to the various prominent selections of services that are custom-fit for our clients and the numerous kinds of professionals we are able to provide. Our services are highly based off of our clients’ needs and requirements, and we are able to dispense any kind of personnel that they need whether professional or non-professional. We look for only the best, and provide only the best.
- Contract Type:
- Full Time
- Experience Required:
- 3 to 4 years
- Education Level:
- Bachelor’s Degree
- Number of vacancies:
- 2
Job Description
We’re seeking a Data Platform Engineer to help architect, develop, and optimize large-scale data ingestion, transformation, and analytics solutions across cloud and on-prem environments. This role is ideal for professionals experienced in handling diverse data formats and streaming workloads, who thrive in fast-moving environments and enjoy building data-driven systems from the ground up.
Key Responsibilities
Implement solutions for batch and streaming data ingestion from APIs, flat files, and cloud sources
Develop data ingestion and transformation pipelines using tools such as Spark, Scala, and Kafka
Set up data staging, ETL processes, and quality checks to prepare datasets for analytics
Build scalable data frameworks and contribute to architecture decisions for cloud and on-prem systems
Optimize SQL and PLSQL queries to ensure efficient data retrieval from structured and unstructured sources
Support data profiling, source-to-target mappings, and validation of business requirements
Work closely with Data Architects and Delivery Leads to shape data solutions that meet stakeholder goals
Deliver solutions that integrate well with BI/reporting tools (Looker, Tableau, or similar)
Job Qualifications
Preferred Skills & Experience
Bachelor’s degree in Computer Science, Statistics, Information Management, Finance, Economics, or related field
Minimum 3 years' experience in integrating data for analytics using formats like JSON, XML, flat files, Hadoop, or cloud-native formats
Proficient in Spark/Scala and other JVM-based programming languages
Hands-on experience with ingestion tools such as NiFi, Sqoop, or Flume
Strong background in working with HDFS, Hive, HBase, and large-scale data processing systems
Familiar with data pipeline development using cloud-native tools (e.g., AWS Glue, Azure Data Factory, GCP Dataflow)
Knowledge of CI/CD tooling including Jenkins, Bitbucket, SonarQube, and Nexus
Proficient in SQL and PLSQL for data access, transformation, and optimization
Familiar with BI tools like Looker, Tableau, or similar for data visualization
Knowledgeable in core concepts such as data lakes, warehousing, and real-time data architecture
Strong understanding of streaming platforms like Apache Kafka, Spark Streaming, or Storm
Capable of handling structured and unstructured data, profiling source systems, and delivering fit-for-purpose datasets
Working knowledge of Java is a plus
Why Join Us?
Work with modern big data stacks and real-time analytics platforms
Collaborative and technically driven team
Exposure to both on-prem and cloud-native technologies
Opportunity to shape the future of enterprise data architecture
- Salary:
- ₱80,000.00 Monthly
