For our business partner, we are looking for a Big Data Manager who loves solving complex problems across a full spectrum of technologies. The ideal candidate is an experienced lead software engineer with a focus on designing and developing a
big-data ecosystem.

You will join the DSE team which is accountable for the in-house data platform infrastructure, data engineering, and automated data analytics reporting. You will be responsible for managing a team of three Big Data Software Engineers in Bucharest to deliver a best-in-class data platform and data pipeline solutions that meet business requirements and operates efficiently at scale.

Our business partner is a well-known innovative brand that is loved around the world for its insanely versatile and enabling products that changed the way we keep our memories (video or photos).

Responsibilities

• Collaborate with business stakeholders, product owners, and the data engineering team in the US for business requirements and prioritize initiatives.
• Work with and manage the team of data and software engineers on the team to ensure efficient and timely delivery.
• Planning, designing, developing, testing, deploying, documenting, and supporting data pipeline solutions.
• Provide technical supervision for all facets of data engineering, software engineering, and operational excellence.
• Hire, develop and mentor staff through onboarding, open communication, training, and performance management.
• Participate in deep technical discussions about design and code review PRs.
• Collaborate with the DevOps team to configure the data environment and grant required privileges in accessing different data services in the cloud.

Main requirements

• Minimum 8+ years of demonstrable experience in designing &
  developing highly scalable and fit-for-purpose data solutions;
• At least 1+ years experience leading a team of data engineers, managing performance, hiring, and working independently on addressing organizational issues;
• Strong software development experience with proficiency in Scala or Java;
• You are passionate about the architecture of the Big Data Technology stack consisting of layers: Data Modeling, Data Lakehouse, Data Pipeline, and Data Analytics;
• Have experience in designing and building scalable/reliable data pipelines using the Big Data ecosystem (Hive/Spark/Databricks/Presto/Kafka/Airflow or equivalents);
• Experienced in creating, modifying, and querying database entities (tables, views) using optimized SQL for performance and knowledge in data warehouse data models;
• Experienced in the design/implementation of scalable and reliable services using AWS or other cloud services;
• Knowledge of Machine Learning Model Operationalization (MLOps)- is a plus;
• You have the capability to synthesize business requirements and construct technical requirements;
• A passion for people management and mentorship
• Builds trust easily and effortlessly to assume a leadership role
• Open to change, flexible yet tenacious in implementing changes
• Bachelor’s Degree in Computer Science, Information Systems, or another quantitative field;
  

Benefits

• Discounted employee stock purchase plan.
• Competitive salary and annual performance-related bonus.
• Gym fee compensation / Live Healthy Wellness Program.
• Excellent healthcare insurance coverage.
• Generous time off policy.
• Professional + personal development opportunities.
• Flexible work arrangements.
• Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events).