Data Engineer (Intermidiate)
Summary
Intermediate data engineer at Strateq Group in Petaling Jaya, Selangor, designing and maintaining data models, pipelines, and warehouse/lake infrastructure using MS SSIS, ETL/ELT tools, SQL/NoSQL databases, and cloud data platforms. Also mentors juniors, documents best practices, supports clients, and joins pre-sales work.
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- Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Business Analytics, Statistics, Mathematics, Human Computer Interactive (HCI) or a related field.
- Must have 3+ years' experience in MS SSIS as ETL/ data pipeline development platform
- Good to have 5+ years of working in data warehouse project implementation or support and maintenance involvement.
- Min 3 years experience in ETL/ELT tools such as Talend, Databricks, AWS Glue, Azure Data Factory, EAI).
- Experience in scripting languages such as Python, Java, or Scala.
- Experience in database and data warehousing using SQL, NoSQL, and RDBMS technologies such as MS SQL, Azure Cosmos DB, AWS DynamoDB, PostgreSQL, etc.
- Familiarity with cloud-based data platforms (e.g., Amazon S3, Azure, Snowflake) is an added advantage.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is an added advantage.
- Experience in version control tools such as Github, etc.
- Experience with solution architecture draft/review.
- Excellent problem-solving, analytical, strong communication and collaboration skills
Key Requirements:
- Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Business Analytics, Statistics, Mathematics, Human Computer Interactive (HCI) or a related field.
- Must have 3+ years' experience in MS SSIS as ETL/ data pipeline development platform
- Good to have 5+ years of working in data warehouse project implementation or support and maintenance involvement.
- Min 3 years experience in ETL/ELT tools such as Talend, Databricks, AWS Glue, Azure Data Factory, EAI).
- Experience in scripting languages such as Python, Java, or Scala.
- Experience in database and data warehousing using SQL, NoSQL, and RDBMS technologies such as MS SQL, Azure Cosmos DB, AWS DynamoDB, PostgreSQL, etc.
- Familiarity with cloud-based data platforms (e.g., Amazon S3, Azure, Snowflake) is an added advantage.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is an added advantage.
- Experience in version control tools such as Github, etc.
- Experience with solution architecture draft/review.
- Excellent problem-solving, analytical, strong communication and collaboration skills
We are seeking a talented and experienced Senior Data Engineer to join our dynamic team at STRATEQ GROUP (Strateq Sdn Bhd). As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data infrastructure and pipelines to support the company's data-driven initiatives. This is a full-time position based in Petaling Jaya, Selangor.
KeyResponsibilities:
- Perform complex data model to accommodate data warehouse/ data lake/ enterprise data hub requirements.
- Design, develop, and maintain data models, data pipeline using data fabric/ETL tools.
- Ensure data governance and security practices are maintained according to organizational policies and regulations.
- Provide technical guidance to junior, ensuring knowledge transfer and continuity.
- Provide technical training to clients.
- Document processes, standards, and best practices.
- Participate in pre-sales activities.
- Provide ongoing support to clients, ensuring they can fully leverage the solutions provided.
- Commit to project timelines, deliverables effectively.
- Work closely with internal teams and project managers, to ensure solutions align with business objectives.
- Any other duties as requested by the Reporting Officer or HOD.