Software Engineer Data Pipeline / Analyst

About the Job

1. 1Lead the design, development, and optimization of scalable and robust data pipelines to support business intelligence and analytics.
2. 2Architect and implement advanced ETL processes to integrate data from various sources into our data warehouse and data lakes.
3. 3Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide strategic data solutions.
4. 4Ensure the integrity, accuracy, and security of data across all platforms, implementing best practices for data governance and compliance.
5. 5Develop and maintain comprehensive documentation for data architecture, processes, and workflows.
6. 6Mentor and guide junior data engineers, promoting best practices in data engineering.
7. 7Stay current with emerging trends and technologies in data engineering, and drive continuous improvement initiatives within the team.

Why Join Us

1. 1You’ll transform vast, unclean datasets into high-quality, actionable insights that drive business decisions.
2. 2As a result-driven team, we embrace experimentation and quick iteration, with freedom to explore new tools and approaches.
3. 3Join a team of experts passionate about data and technology, working alongside data scientists, engineers, and analysts.
4. 4We offer continuous learning opportunities, mentorship, and the chance to grow in a fast-evolving field.
5. 5Your work will help shape the future of market research in Japan, turning raw data into valuable insights.
6. 6As a leader in the field, you’ll have opportunities to represent Macromill at technical engineering events and conferences.

Who are we looking for

1. 1A collaborative and proactive team player who can thrive in a fast-paced environment.
2. 2A detail-oriented professional with a strong commitment to data accuracy and quality.
3. 3An analytical thinker who can troubleshoot complex data pipeline issues with creative problem-solving.
4. 4A lifelong learner who is enthusiastic about exploring new tools, techniques, and trends in data engineering.
5. 5Someone passionate about transforming raw data into actionable insights that drive real business impact.

応募資格（必須）

• Expertise in SQL and relational databases.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with ETL tools and processes.
• Deep understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Excellent problem-solving skills and the ability to design and implement innovative data solutions.
• Strong communication and collaboration skills, with the ability to work effectively across teams and with stakeholders at all levels.

歓迎する経験

• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with data modeling and database design.
• Understanding of data privacy regulations and best practices.
• Proven track record of leading data engineering projects and mentoring junior engineers.

待遇・福利厚生

• DC
• 団体長期障害所得補償保険
• 年間休日120日
• 提携サービス優待

求めるスキル・経験