Sr. Data Engineer (Talent Pool)

Staffinc; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to lead the design and optimization of complex data infrastructures. This role involves developing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver scalable data solutions. If you have a strong background in data engineering and a passion for mentoring others, this is an exciting opportunity to make a significant impact in a dynamic environment. Join a forward-thinking company and contribute to innovative projects that shape the future of data management. Your expertise will be invaluable in driving success and fostering growth within the team.

Qualifications

• 5-8 Jahre Erfahrung in der Datenverarbeitung und -architektur.
• Starke Kenntnisse in SQL und relationalen Datenbanken.

Responsibilities

• Leitung des Designs und der Entwicklung von Datenpipelines und ETL-Prozessen.
• Zusammenarbeit mit Datenwissenschaftlern zur Bereitstellung datengestützter Lösungen.

Skills

Data Engineering

SQL

Python

Problem-solving

Communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Software Engineering

Tools

Apache Kafka

Apache Nifi

Hadoop

Spark

AWS

Google Cloud

Azure

Job description

Staffinc is a manpower supply service that connects talented professionals with top-tier clients across various industries. We specialize in providing highly skilled individuals who possess a wide range of technical expertise.

We are currently seeking a highly skilled and experienced Senior Data Engineer to join our client's team in Jakarta. As a Senior Data Engineer, you will be responsible for leading the design, development, and optimization of complex data infrastructure and systems. You will work closely with cross-functional teams to drive the implementation of scalable data solutions and ensure the availability, integrity, and security of data assets.

Note: This opening serves as our talent pooling; the designated clients, locations, industries, and timeline may vary.

Responsibilities:

• Lead the design and development of data pipelines, ETL processes, and data integration workflows to extract, transform, and load data from diverse sources.
• Architect and implement data warehouses, data lakes, and data marts to support advanced data analysis and reporting.
• Ensure data quality and integrity through data validation, cleansing, and profiling techniques.
• Optimize and fine-tune database queries, processes, and data models for performance and scalability.
• Define and implement data security and privacy measures in compliance with industry standards and regulations.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver data-driven solutions.
• Troubleshoot and resolve complex data-related issues and provide technical guidance and support.
• Stay up-to-date with emerging trends and advancements in data engineering technologies and practices.
• Mentor and guide junior and medior data engineers, fostering their growth and technical development.
• Contribute to the continuous improvement of data engineering processes and methodologies.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5-8 years of proven experience as a Data Engineer, with a strong background in data engineering and architecture.
• Extensive knowledge of data engineering concepts, best practices, and data management principles.
• Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Expertise in data integration tools and frameworks such as Apache Kafka or Apache Nifi.
• Strong programming skills in at least one language such as Python, Java, or Scala.
• Deep understanding of big data technologies such as Hadoop, Spark, or NoSQL databases.
• Familiarity with cloud-based data platforms such as AWS, Google Cloud, or Azure.
• Experience in designing and implementing data warehouses, data lakes, and data marts.
• Strong problem-solving and analytical skills, with attention to detail.
• Excellent communication and collaboration skills, with the ability to lead and inspire a team.
• Excellent command of English, both written and verbal.
• Must be able to work on-site in Jakarta.

Preferred Qualifications:

• Experience with data orchestration and workflow management tools such as Apache Airflow or Luigi.
• In-depth knowledge of data governance, data quality management, and metadata management.
• Familiarity with advanced data analytics and machine learning techniques.
• Understanding of data visualization tools and techniques.
• Experience with agile methodologies and working in agile teams.

Join our team and embark on an exciting journey with Staffinc and our prestigious clients. We look forward to welcoming you on board!