Data Platform Engineer
hace 3 semanas
Job Description:
MercerTech DnAi Platform engineering team is seeking a candidate for the position of Data Platform Engineer based in the CDMX office and requiring onsite presence 3 days a week.
The ideal candidate will have experience in data engineering with AWS cloud and expertise in the administration, development, and implementation of large-scale data projects in the hybrid data platform (on-prem and cloud both).
Key Responsibilities:
- Oversee the design, implementation, and maintenance of the data platform built on Kubernetes, AWS services, and other SAAS solutions.
- Setup the platform and its toolkit like Databricks, Snowflake, IDMC with best possible standards for different projects.
- Collaborate with projects' business teams to understand their requirements, technical needs, and help the team design their architecture using the combination of data tools aligning with MMC's technology standards and security.
- Involved in onboarding new technologies onto the platform and ensuring smooth operations through regular maintenance, governance, and guideline definition.
- Expertise in ETL processing toolsets to guide developers in optimizing their jobs.
What You'll Get:
- A company with a strong brand and strong results to match.
- Culture of internal mobility, collaboration, and valued partnership from the business.
- Employee Resource Groups providing access to leaders, relevant volunteer, and mentoring opportunities.
- Entitled to vacation, floating holidays, time off to give back to your community, sick days, and national holidays.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Extensive experience in data engineering roles with a focus on building and managing data platforms.
- Exposure to Big Data / Data Lake frameworks like Spark, Spark Streaming, Python, R, NiFi, AWS S3, Redshift, Glue, Athena, and tools like Databricks, IDMC, Snowflake, MongoDB.
- Understanding of BI Tools like PowerBI, Qlik is an added advantage.
- Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.
- Ability to design and architect the solution when provided with the business requirement.
- An inquisitive mindset with a track record of seeking out and implementing new technologies and architectural patterns.
- Self-motivated to excel in a remote position, collaborating effectively with a remote team.
- Ability to take decisions during crisis.
- The ability to work in a fast-paced environment with changing priorities and deadlines.
- Used to working and communicating with both business and technical stakeholders at varying levels of seniority.
Preferred Qualifications:
- Strong AWS experience.
- Experience in either one of Databricks or Snowflake.
- Experience in Informatica data quality and governance tools (IDMC).
What Makes You Stand Out:
- Strong AWS experience.
- Experience in either one of Databricks or Snowflake.
- Experience in Informatica data quality and governance tools (IDMC).
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