Data Engineering Lead
3 weeks ago
**Nice to Meet You We are **Dropsuite **
**We are looking for an experienced Data Engineer Lead to join our team. In this role, you will be responsible for leading a team of data engineers, designing, developing, and optimizing our data architecture, pipelines, and processes. You will work closely with cross-functional teams, including data analysts, and product teams, to ensure data availability, quality, and accessibility for business decision-making.
**Work Arrangement**
- Full-time position
- Hybrid work model (2 days per week in the office)
- Monday to Friday, 5-day work week (flexible work schedule)
Eligible to reside and work in Bandung (Indonesian citizenship only)
**K **ey **Accountabilities**
- Guide and support a team of data engineers, ensuring best practices in data engineering are followed, and mentor team members for skill development.
- Develop and maintain scalable data architectures, ensuring they meet business requirements and are optimized for performance.
- Build and maintain ETL pipelines, ensuring seamless data ingestion, transformation, and loading across various systems and platforms.
- Establish and enforce data quality standards and governance practices to ensure data accuracy, consistency, and security.
- Work closely with data analysts, and stakeholders to understand data needs and deliver on business objectives.
- Stay updated on emerging data technologies and recommend tools or platforms that will enhance data processes and efficiencies.
- Optimize and tune existing data processes, databases, and workflows to improve efficiency and reduce latency.
Maintain thorough documentation of data architectures, processes, and workflows to support transparency and scalability.
**Qualifications and Competencies**
- Minimum of 6-8 years of experience in Data Engineering, with at least 2-3 years in a leadership or senior role.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- Proficient in SQL and database management systems (e.g., MySQL, PostgreSQL, Oracle).
- Strong experience with big data technologies (e.g., Hadoop, Spark).
- Expertise in cloud platforms (e.g., AWS, Azure, GCP) and data pipeline tools (e.g., Apache Airflow, Talend ).
- Familiarity with programming languages like Python, Java, or Scala.
- Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery ).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Proven track record of leadership, with experience mentoring and developing team members.
Preferred: Experience with data governance and data security frameworks, as well as a strong understanding of Agile methodologies.
**Why Join Us**
Dropsuite (listed DSE:ASX) safeguards business information. We are a global, fast-growing, partner-centric company building secure, scalable, and highly usable cloud backup technologies for businesses. Our mission is to help business stay in business. Dropsuite performs billions of backups per day for organizations in more than 100 countries around the globe.
Dropsuite is known for its team of ‘hungry owners.’ We are hungry to win and tenacious, but at the same time we all are owners: we do not cut corners and always seek to do the right thing. We are experts in what we do, are highly customer focused and we _love _solving problems. We play as a team, where respect is one of our key values and we see helping others as a priority.
**Rewards That Go Beyond**
- Competitive compensation
- Health insurance for you and your dependents
- Social Security (BPJS Ketenagakerjaan )
- Hybrid work model
- 12 Days of Annual Leave
- Entitled to Indonesia Public Holidays
- Other leave benefits, such as Wedding leave
- Growth opportunities
Work in a global company with meaningful work, highly skilled colleagues and an amazing culture
**Diversity and Inclusion Statement**
Dropsuite is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
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