Total 9 data entry job vacancies in Others category in ITE-CE (College East)

SIA will be conducting interviews for Direct Entry First Officers. If you meet the following requirements, we will be pleased to receive your application:

• Possesses a valid Class 1 Medical Certificate, recognized or can be validated by Civil Aviation Authority of Singapore (CAAS)
• Holds a valid Airline Transport Pilot Licence (ATPL), Commercial Pilot Licence with Multi-Engine Aircraft Instrument Rating (CPL/MEIR) with frozen ATPL, or Multi Pilot Licence (MPL), recognized or can be validated by CAAS.
• 1500 total multi-crew flying hours on jet engine aircraft with MTOW > 20T. Candidates with less than 1500 but more than 700 hours on these aircraft may be shortlisted based on merit, and may be put through a longer training programme if successful.
• Able to speak and understand English with ICAO English Level 5 or above for inflight radio-telephony communications
• Minimum height requirement of 1.62m to carry out safety and emergency procedures on board

Training

Where applicable, successful candidates will be trained to acquire an Aircraft Type Rating.

Remuneration and Service Benefits

You will enjoy an attractive salary, along with various allowances and benefits.

Bond

Successful candidates who are provided with type rating training will be required to enter a training bond.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.
• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.
• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.
• Implement data quality checks, data validation, and ensure accuracy in processed data.
• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.
• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.
• Programming Languages: Python, Scala
• ETL Tools: Informatica, SAS
• Database Management: Oracle, MySQL, MS SQL Server, MongoDB
• Scripting: SQL, PL/SQL
• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook
• Version Control and Build Tools: Maven, SBT, Git
• Methodologies: Agile, Scrum
• Operating Systems: Windows, Unix, Linux
• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL DataWarehouse, Azure Data Lake Storage, BLOB Storage

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

We are looking for a seasoned Data Engineer with over 10 years of experience in Big Data technologies, PySpark, Data Warehousing, and Cloud Data Platforms. The ideal candidate will have extensive expertise in designing and developing data pipelines and transforming data using tools such as Azure Data Factory, Azure Databricks, Ab Initio, Teradata, and SSIS.

The role involves working with PySpark and Spark SQL to perform data extraction, transformation, and aggregation from multiple sources and file formats. A strong understanding of Spark architecture and hands-on experience with Hive, HDFS, JSON, ORC, and Parquet is essential. The candidate should also have experience in data warehousing techniques such as slowly changing dimensions (SCD), surrogate key assignment, and change data capture (CDC).

Proficiency in Python and Unix shell scripting, along with Airflow, Control-M, and Autosys for orchestration, is required. The ideal candidate will be involved in end-to-end ETL implementations, including requirements gathering, database and process design, implementation, testing, and production support.

Certifications such as Databricks Certified Associate Developer for Apache Spark, Azure Data Engineer Associate (DP-203), and Teradata 14 Certified Professional are highly desirable

We are seeking a highly skilled Data Engineer with over 10 years of experience in Big Data Analytics, Data Engineering, and Cloud Technologies. The candidate will be proficient in working with large datasets and possess deep expertise in Apache Spark, PySpark, HDFS, Kafka, and Azure Databricks.

Key responsibilities include designing, developing, and maintaining data pipelines using tools such as Azure Data Factory, Azure SQL Data Warehouse, and PL/SQL. The role involves working with both structured and unstructured data, performing ETL/ELT workflows, and developing solutions that provide business insights. Experience with Informatica, SAS, and data lakes is highly desirable.

The ideal candidate will have a proven track record of working in Agile/Scrum environments, collaborating with cross-functional teams, and managing production issues within SLAs. Strong experience with predictive modeling, data quality checks, and dashboard reporting is essential.

Certifications Highly Desirable:

Databricks Certified Data Engineer Professional

Azure Data Engineer

Azure Fundamentals

About the Role:

• Execute digital programs under Solutioning Team under Restructured Digital Solutions
• Manage and support Ops BUs in engagement with clients on tech deployment matters
• Collaborate with Remote Operations Centre in establishing standard work flows in managing CMMS or Smart FM processes after office hours
• Collaborate with Smart FM/IoT Team to build use-cases for project deployment
• Establish and develop features and apps under Smart FM framework to meet client expectations
• Planning and developing low-code solutions to bridge Smart FM gaps
• Apply global data standards for FM service trade
• Work with Ops BUs to identify tech projects to collaborate with
• Meet all project timelines specified by Project Leaders
• Support other digital solution functions as and when required
• Any other instructions from senior management

About You:

• Diploma / Degree in Smart FM / Building / Automation or Facilities Management or equivalent.
• Excellent communication and interpersonal abilities.

Why join Cushman & Wakefield?

As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;

• Being part of a growing global company;
• Career development and a promote from within culture;
• An organisation committed to Diversity and Inclusion

We're committed to providing work-life balance for our people in an inclusive, rewarding environment.

We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.

We have a vision of the future, where people simply belong.

That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, gender, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.

Job Description:

We are looking for a skilled Data Engineer with 8+ years of experience in handling databases and data engineering projects in the Banking, Aviation, and Telecommunication industries. The ideal candidate will have expertise in evaluating technology stacks for building analytics solutions on the cloud and designing technology roadmaps for data ingestion, data lakes, data processing, and visualization.

Key Responsibilities:

1. Data Ingestion and Processing:

• Extract structured and semi-structured raw data from multiple sources using tools like Pyspark, Hive, and Sqoop.

• Develop, test, and maintain data infrastructure, ingestion pipelines, and data stores.

2. Data Lake and Cloud Solutions:

• Design and implement data lakes and analytics solutions on cloud platforms such as AWS (S3, EC2, EMR, RDS).

• Build and maintain data pipelines using CI/CD methodologies, Docker containerization, and Git version control.

3. Database Management:

• Setup and construct database models and architectures using PostgreSQL, Oracle, and other relational databases.

• Optimize queries for faster report generation and efficient data processing.

4. ETL Processes:

• Design and manage ETL processes for data migration and integration using tools like Informatica.

• Perform data cleansing and harmonization to ensure data quality and consistency.

5. Big Data Technologies:

• Utilize Hadoop ecosystem tools (Hadoop, Hive, Spark) for big data processing and analysis.

• Optimize Hive SQL queries and Spark jobs for performance improvements.

6. Data Visualization and Reporting:

• Create dashboards and reports using tools like SAS, Kibana, and Amazon Redshift.

• Implement real-time transaction monitoring and fraud detection using visualization techniques.

7. Technical Design and Problem Solving:

• Develop technical designs that meet system objectives while minimizing operational impacts.

• Provide solutions for complex data engineering problems and handle batch failures.

8. Collaboration and Communication:

• Work with business analysts to gather requirements, validate data, and perform integration testing.

• Communicate effectively with team members and stakeholders to ensure project success.

• Experience: 8+ years of experience in data engineering and database management.

Skills:

• SQL, PL/SQL, Python

• Hadoop, Hive, Sqoop, Spark

• AWS (S3, EC2, EMR, RDS)

• SAS, Machine Learning, Data Modeling

• Oracle, PostgreSQL, MSSQL, Teradata

Additional Skills:

• Strong analytical, problem-solving, and organizational abilities.

• Quick learner with a keen interest in staying updated with industry trends.

• Excellent written and oral communication skills.

• Ability to work independently and as part of a team.

Our client is a well-known Global leading High-Tech MNC. They provide cloud, AI-driven services and transformative solutions to enterprise customers. They are looking for a Data Modeler to join their APAC team.

• Basic + AWS +Bonus(3months)

Responsibilities:

1. Evaluating current data systems and working with data architects and database administrators to design conceptual data models and data flows.

2. Designing, implementing, and documenting data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases to support enterprise information management, business intelligence, machine learning, data science, and other business interests.

3. Defining and governing data modeling and design standards by recommending tools, best practices, development methodologies, and other standards such as naming convention, security, data lifecycle, and retention policy

Requirement:

• Min 5 years in designing and creating data systems, databases, Business Intelligence, Machine Learning, Data Science
• Strong understanding of Data Modelling concepts, techniques, and methodologies
• Proficiency in data modeling tools such as NoSQL data platform technologies, SQL, MySQL, and ETL and data ingestion protocols

SIA will be conducting interviews for Direct Entry First Officers. If you meet the following requirements, we will be pleased to receive your application:

• Possesses a valid Class 1 Medical Certificate (recognized or can be validated by CAAS)
• Holds a valid CPL/MEIR with frozen ATPL or ATPL (recognized or can be validated by CAAS)
• Minimum of 1500 total multi-crew flying hours on commercial jet aircraft.
• Able to speak and understand English with ICAO English Level 4 or above for inflight radio-telephony communications
• Minimum height requirement of 1.62m to carry out safety and emergency procedures on board

Training

Where applicable, successful candidates will be trained to acquire an Aircraft Type Rating.

Remuneration and Service Benefits

You will enjoy an attractive salary, along with various allowances and benefits.

Bond

Successful candidates who are provided with type rating training will be required to enter a training bond.