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).
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.
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;
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).