AI - Site Reliability Engineer
Deutsche Bank
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Job Title- Senior Data Engineer
Location-Pune
Role Description:
At the “Service Solutions and AI” Tribe, our mission is to revolutionize our Private Bank process landscape by implementing holistic, front-to-back process automation. We are committed to enhancing efficiency, agility, and innovation, with a keen focus on aligning every step of our process with the customer’s needs and expectations. Our dedication extends to driving innovative technologies, such as AI & workflow services, to foster continuous improvement. We aim to deliver ‘best in class’ solutions across products, channels, brands, and regions, thereby transforming the way we serve our customers and setting new benchmarks in the industry.
As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data infrastructure and data pipelines. You will work closely with data scientists and analysts to transform data into a format that can be easily analyzed. You will ensure the data architecture supports the requirements of the business and is aligned with the latest industry standards. You will have a strong understanding of Google Cloud Platform and big data technologies, along with excellent problem-solving skills. You will play a crucial role in optimizing data systems and building them from the ground up. You will also be responsible for data cleansing, and you will work towards improving data reliability, efficiency, and quality. You will stay updated with the latest data technologies and trends to drive innovation and improve the existing infrastructure. This role requires a high level of technical expertise and the ability to work collaboratively with both technical and non-technical team members.
Join us in our journey to redefine banking with AI and service solutions into the future.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
Your key responsibilities
- Work within software development applications as a Data Engineer to provide fast and reliable data solutions for warehousing, reporting, Customer- and Business Intelligence solutions.
- Partner with Service/Backend Engineers to integrate data provided by legacy IT solutions into your designed databases, and make it accessible to the services consuming those data.
- Focus on the design and setup of databases, data models, data transformations (ETL).
- Develop knowledge on AI/ML and Generative AI in order to integrate chatbot with data
- Build reports in Tableau and looker on chatbot performance KPI
- Contribute to data harmonization as well as data cleansing.
- A passion for constantly learning and applying new technologies and programming languages in a constantly evolving environment.
- Build solutions are highly scalable and can be operated absolutely flawlessly under high load scenarios.
- Together with your team, you will run and develop you application self-sufficiently.
- You'll collaborate with Product Owners as well as the team members in regards to design and implementation of data analytics solutions and act as support during the conception of products and solutions.
- When you see a process running with high manual effort, you'll fix it to run automated, optimizing not only our operating model, but also giving yourself more time for development.
Your skills and experience
- Mandatory Skills -
- Hands-on development work building scalable data engineering pipelines and other data engineering/modelling work using Python or Java.
- 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) – reusable Flex Templates/data processing frameworks using Java for both batch & stream needs
- Experience with Vertex AI
- Hands-on knowledge on Tableau or looker to build report
- 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 Shell Scripting.
- Knowledge of GCS Buckets, Google Pub Sub, BigQuery
- Knowledge of provisioning cloud resources using Terraform.
- Experience with Git, CI/CD pipelines, Docker, and Kubernetes.
- Knowledge about ETL processes in the Data Warehouse environment/Data Lake and how to automate them.
- Nice to have-
- Knowledge of Google Cloud Cloud Monitoring & Alerting
- Knowledge of Cloud Run, Data Form, Cloud Spanner
- 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)
How we’ll support you
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.htm
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.
This job is no longer accepting applications
See open jobs at Deutsche Bank.See open jobs similar to "AI - Site Reliability Engineer" Imagine.