The Data Management and Analytics Platform (DMAP) team is looking for a proven senior engineer to join their team! Our fast-growing, diverse team of engineers is responsible for building scalable ingestion systems which handle and prepare petabytes of data for reporting, dashboards, and advanced analytics. Bloomberg runs on data. Our data captures the who, what, when, where and why of how our clients use Bloomberg products and our Product teams rely on those insights to drive adoption and usage.

What's In It For You:

Join a team of dedicated engineers who are committed to building automated, reliable, and performance-oriented systems.  Shape the strategic and technological direction of the team. Empower your career growth through exposure to new technologies and processes

• You will work closely with a team of data scientists and analysts to build solutions to help drive product usage and find new sales opportunities
• You will own, design, and implement scalable and robust data pipelines and collaborate with cross functional teams and vendors to enhance and ingest data from internal and external sources
• You will work closely with the business to understand their requirements and key business metrics
• You will identify opportunities to simplify and automate workflows
• You work with technologies such as Hadoop, Airflow, Spark, Hive, Kafka and you will help identify new technologies and set the technical vision for the team
• You will mentor junior team members and help foster a culture of collaboration in the team
• You will be working with structured and unstructured datasets

You will need to have:

• Proven experience building and owning end to end (designing, implementing, and maintaining) automated, scalable, and robust ETL systems with Spark, Hadoop, Airflow, Python, Informatica or similar technologies
• Advanced SQL capabilities and strong understanding of database design, data warehousing methodologies, ETL processing and dimensional data modeling
• Programming experience in Python, Java, C++ or any other programming language (our team programs mostly in Python)
• Experience working with Hadoop (HDFS, Oozie, Hive, etc) and MPP databases (GreenPlum, Teradata, BigQuery, Redshift, etc)
• BA, BS, MS, PhD in Computer Science, Engineering or related technology field

Nice to Have:

• Experience with streaming technologies like Kafka
• Experience with Flink
• Experience with business intelligence reporting tools such as QlikSense, Tableau, Power BI, Cognos, etc
• Experience with Docker and Kubernetes
• Knowledge of cloud computing and containerization
• Contributions to open source software are a plus

Interviewing with us

We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here:
https://www.bloomberg.com/careers/technology/engineering/software-engineering-experienced-hire

We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know!

We have a lot of opportunities to choose from in Engineering, and it is important to us that your skills and experience align best with the team you are interviewing with. To help ensure you are placed on the right team, your application will be considered for all of our current vacancies in Engineering at the first stage of the interview process.

Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email emea_recruit@bloomberg.net.