Senior Data Engineering Specialist Job Vacancy in Wells Fargo Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : Wells Fargo
Location : Bengaluru, Karnataka
Position :

Job Description : About this role:

The Enterprise Analytics and Data Science (EADS) organization is looking for an established and proven Data Engineering expert to join our team and help us build scalable model ready data infrastructure through end-to-end development and ownership of data ingestion, data pipelines and model deployment frameworks. Incumbent is expected to lead Data Engineering best practices and automation and build scalable and reliable data pipelines and frameworks (from varied data sources) in collaboration with Data Science and platforms teams (in both batch and streaming environments). Additionally incumbent will be working with Data management and governance teams to create and maintain pristine quality of data in line with best practices and regulatory requirements, for faster adoption into AI/ML products and solutions.

In this role, you will:
Design, develop, and deliver large-scale data ingestion, data processing, and data transformation projects, from various structured and unstructured data sources, supporting on-prem and cloud deployments
Work closely with business partners, data scientists, technology teams and ML engineers to create the most suitable and scaled data engineering solutions, feature stores, etc.
Automate data ingestion, pipelines and feature creation processes across tabular, semi-structured, free text, voice and image data. Figure out efficient ways to transform and store for scaled modeling usage
As a senior member of the Data engineering team, contribute to development and scaling of end-to-end Data engineering team and capability. Guide junior engineers to build best-in class frameworks. Work with data science, ML engineers and technology partners and chalk out the roadmap and implementation strategy
Guide data scientists to adopt data ingestion best practices during model exploration, development and deployment. Get involved in early scoping phases of projects/products and provide thought leadership on the right pipeline architecture
Contribute to cloud migration strategy for data engineering and ML Ops solutions. Migrate data infrastructure from on-prem to private and public cloud (GCP)
Keep up with emerging best practices in data engineering and drive adoption as necessary.
Advocates for and ensures their team adheres to software engineering best practices (e.g. technical design and review, unit testing, monitoring, alerting, checking in code, code review)
Required Qualifications:
B.S/B.Tech/B.E. degree or higher in a quantitative field such as computer sciences, applied math, statistics, engineering
6-10 years of experience in relevant fields like Data engineering, data warehousing, data lakes, ETL/ELT covering data solutions architecture design and implementation
4+ years advanced programming experience in Python, Spark, SQL, Scala, SAS (expert level proficiency)
4+ years of experience in big data stack like Hadoop, Hive, Kafka, Impala (expert level proficiency)
4+ years of experience across SQL databases like Teradata, Oracle and NoSQL databases like MongoDB, Cassandra. Experience of graph databases is a bonus
2+ years of experience in ML workflow technology like Airflow, Kubeflow
Experience with implementing CI/CD principles and version control in the Machine Learning domain
Exposure to tools like Databricks/Dataiku
Experience creating data pipelines and ML Ops environment on Cloud (GCP, AWS, Azure) (GCP – preferred). Hands on experience on migrating data infrastructure from on-prem to GCP will be a bonus. BigQuery, Cloud Composer, Vertex AI
Ability to interact with both business and technology partners on tech migration/adoption
Takes ownership for responsibilities for own and drive same effort to the team
Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player
Desired Qualifications:
Experience in Agile development methods
Familiarity with AI/ML modeling frameworks like Scikit-learn, SparkML, TensorFlow, PyTorch, Keras
Familiarity with AI/ML and NLP modeling techniques like Random forest, XGboost, Deep learning, Topic modeling, Text analytics
Experience in banking and BFSI, retail, e-commerce, product companies (preferred)
Experience in deployment through containers (like Docker) and orchestration (Kubernetes)
Experience in deploying Machine Learning as-a-service using REST API’s, Flask, Django, etc.
Experience building custom integrations between cloud-based systems using APIs
Experience with elastic search, knowledge graph
Experience with ML model testing: model performance, model health, etc.
Job Expectations:
As mentioned above
We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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