Associate - Data Engineer

Site reliability engineering (SRE) applies methods of software and system engineering to build and run scalable and reliable software systems. By solving infrastructure and operations problems SRE enables us to achieve the necessary service levels. It keeps a close watch on capacity and performance, optimizes software build processes and eliminates work through automation.

The SRE squad is part of the Data Core tribe within the department Technology, Data & Innovation (TDI) Private Bank Germany. The Data Core tribe covers thecomplete data value chain, including not only the mobilization, integration, enrichment andstorage of data. Furthermore, it provides tools, services and data analyticsto enable new use cases,business capabilities and directly creates value for Deutsche Bank.
Our products enable reaching strategic goals in driving the cloud move of complex BI infrastructure, reducing the number of warehouses, simplifying our architecture and bringing downcosts, while at the same time developing cutting edge data technology like automated near time machine learning processes.

If you are looking for a new challenge in a truly agile team that builds excellent solutions, now is a perfect time to join us as a Site Reliability Engineer. We are looking for curious minded individuals with strong analytical skills. You come equipped with a t-shaped skill profile both with a broad understanding of IT and sound depth in at least one of the areas like monitoring and performance tuning, cloud UNIX scripting, dev ops tool chains, test automation, cloud security.

We drive a blame-free culture fostering self-initiative and speak-up attitude. You will closely cooperate with all squads in the tribe.

What we'll offer you

As part of our flexible scheme, here are just some of the benefits that youll enjoy

Your key responsibilities

• Get involved in the full lifecycle of software products and services.
• Support and consult the feature squads from design through go-live, including the operation.
• Participate in system and architecture design including non-functional requirements.
• Build and improve monitoring solutions and aim to automate fully to achieve zero-ops and utmost reliability.
• Continuously explore the market w.r.t. new technological approaches to achieve the goals of the site reliability squad and the entire tribe.
• Flexibility to work in APAC/EMEA Shift along with on-call as required

Your skills and experience

Mandatory Skills

• Hands-on development work building scalable data engineering pipelines and other data engineering/modelling work using Java/Python.
• Excellent knowledge of SQL and NOSQL databases.
• Experience working in a fast-paced and Agile work environment.
• Working knowledge of public cloud environment.

Preferred Skills

• Experience in Dataflow (Apache Beam)/Cloud Functions/Cloud Run
• Knowledge of workflow management tools such as Apache Airflow/Composer.
• Demonstrated ability to write clear code that is well-documented and stored in a version control system (GitHub).
• Knowledge of GCS Buckets, Google Pub Sub, BigQuery
• Knowledge about ETL processes in the Data Warehouse environment/Data Lake and how to automate them.

Nice to have

• Knowledge of provisioning cloud resources using Terraform.
• Knowledge of Shell Scripting.
• Experience with Git, CI/CD pipelines, Docker, and Kubernetes.
• Knowledge of Google Cloud Cloud Monitoring & Alerting
• Knowledge of Cloud Run, Data Form, Cloud Spanner
• Knowledge of Data Warehouse solution - Data Vault 2.0
• Knowledge on NewRelic
• Excellent analytical and conceptual thinking.
• Excellent communication skills, strong independence and initiative, ability to work in agile delivery teams.
• Good communication and experience in working with distributed teams (especially Germany + India)