Assistant Manager - Big Data (Sunway Digital Hub)

Sunway Berhad; Petaling Jaya; On-site; MYR 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you will manage and analyze vast datasets to support strategic business decisions. This role involves designing and implementing innovative data solutions using cutting-edge technologies and advanced analytics. You will collaborate with diverse teams to ensure data quality and compliance while staying updated with industry trends. The organization offers a dynamic work environment with opportunities for career growth, flexible arrangements, and a focus on employee well-being. If you're passionate about data and eager to make an impact, this is the perfect opportunity for you.

Benefits

Medical Benefits

Insurance Schemes

Salary Increments

Bonuses

Career Development Opportunities

Staff Discounts

Flexible Working Arrangements

Recreational Activities

Qualifications

• Experience with big data technologies like Spark, Hadoop, or Kafka.
• Strong programming skills in Python, SQL, Terraform, or Docker.

Responsibilities

• Design and maintain big data systems based on stakeholder requirements.
• Collaborate with teams to translate business needs into technical specifications.

Skills

Python

SQL

Spark

Hadoop

Kafka

Data Visualization

Problem-solving

Tools

PowerBI

Databricks

Amazon EMR

MSSQL

Postgres

NoSQL

Job description

Add expected salary to your profile for insights.

You will be responsible for managing and analyzing large datasets to provide insights to support business decisions, especially in the field of marketing / martech tools. You will be part of a team that designs, develops, and implements data solutions using cutting-edge technologies, leveraging advanced analytics and machine learning techniques to optimize business performance. You will collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. You will also be responsible for optimizing data processes and ensuring data quality.

Responsibilities:

1. Design, build, and maintain big data systems with stakeholder requirements in mind.
2. Develop data processing solutions using technologies such as Hadoop, Spark, and Kafka, ensuring data accuracy, consistency, and integrity.
3. Leverage advanced data science techniques (such as predictive modeling, clustering, regression, NLP, etc.) to extract actionable insights and build customer-centric data products.
4. Collaborate with cross-functional teams (marketing, engineering, product, etc.) to understand business needs and translate them into technical specifications for models and data solutions.
5. Ensure compliance with data privacy and security regulations during development.
6. Stay current with industry trends in data science, big data technologies, and marketing technology to inform new approaches and solutions.

Requirements:

1. Experience working with big data technologies such as Spark (preferred), Hadoop, or Kafka.
2. Strong programming skills in languages such as Python, SQL, Terraform, or Docker. Pyspark is a plus.
3. Experience working with big data analytics platforms such as Huawei Cloud(DLI), Databricks, or Amazon EMR.
4. Familiarity with data warehousing concepts and technologies such as DWS (Huawei), Airflow, BigQuery, Redshift, or Snowflake.
5. Familiarity with data modelling (supervised training and unsupervised training).
6. Experience with data visualization tools such as PowerBI (preferred), Tableau, or QlikSense.
7. Proven experience working with databases such as MSSQL (preferred), Postgres, and NoSQL.
8. Strong problem-solving skills and attention to detail.
9. Experience working in Agile development environments is a plus.
10. Experience in CDP / Martech tools / Marketing industry is a plus.
11. Manage and lead a team of juniors to deliver tasks.

Additional benefits include various leaves, medical benefits, insurance schemes, salary increments, bonuses, career development opportunities, rewards and recognition, staff discounts, recreational activities, flexible working arrangements, and a young, energetic work environment.

Interested candidates are encouraged to click ‘Apply Now’ to advance their careers. Our recruitment team will contact shortlisted candidates only.