Wells Fargo India Solutions Pvt Ltd

Senior Data Engineer

Wells Fargo India Solutions Pvt Ltd
Hyderabad
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 6 yearsMin. 6 years

Job Description

Senior Data Engineer

About this role:

Wells Fargo is seeking a Senior Data Engineer.


In this role, you will:

  • Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
  • Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
  • Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
  • Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
  • Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
  • Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals


Required Qualifications:

  • 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education


Job Expectations:

  • We are seeking a highly skilled Senior Data Engineer with 6-10 years of hands-on experience in building, optimizing, and maintaining large-scale data processing systems. The ideal candidate will have strong expertise in Spark-based data engineering, ETL development (preferably Informatica, IDMC), Oracle databases, and streaming technologies like Flink and Kafka, along with solid cloud data handling using Amazon S3 and working knowledge of MongoDB.

    This role requires strong problem-solving skills, a deep understanding of data pipelines (batch and streaming), and the ability to collaborate effectively with cross-functional teams.

    Key Responsibilities

  • Design, develop, and maintain scalable and reliable data pipelines using Apache Spark for batch and near-real-time processing.
  • Build, enhance, and support ETL workflows, preferably using Informatica, ensuring data quality, performance, and reliability.
  • Develop and maintain integrations with Oracle databases, including data modeling, performance tuning, and query optimization.
  • Implement and manage streaming data pipelines using Apache Kafka and Apache Flink for real-time data ingestion and processing.
  • Work with Amazon S3 and cloud-based storage solutions for large-scale data ingestion, transformation, and archival.
  • Utilize MongoDB for flexible, document-based data storage and retrieval where applicable.
  • Collaborate with data architects, analysts, and business stakeholders to translate data requirements into technical solutions.
  • Ensure best practices around data governance, security, monitoring, and operational excellence.
  • Troubleshoot production issues, perform root cause analysis, and drive performance improvements.
  • Mentor junior data engineers and contribute to code reviews and design discussions.
  • Mandatory Technical Skills

  • Apache Spark (Core, SQL, DataFrames/Datasets)
  • ETL tools – Preferably Informatica
  • Databases: Oracle (mandatory)
  • Streaming Technologies: Apache Kafka and Apache Flink
  • Cloud Storage: Amazon S3
  • NoSQL: Working knowledge of MongoDB
  • Additional / Preferred Skills

  • Strong proficiency in SQL and data modeling concepts
  • Experience with Linux/Unix environments
  • Knowledge of data validation, reconciliation, and logging frameworks
  • Exposure to CI/CD pipelines and version control tools like Git
  • Familiarity with cloud platforms (AWS preferred) beyond S3 is a plus
  • Understanding of data warehousing and lakehouse architectures
  • Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 6-10 years of professional experience in data engineering or related roles
  • Proven experience handling large-scale, high-volume data systems
  • Soft Skills

  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently in a fast-paced environment
  • Team-oriented mindset with mentoring capabilities

Posting End Date: 

14 May 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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 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.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Job role

Work location
Work locationHyderabad, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 6 years

About company

Name
NameWells Fargo India Solutions Pvt Ltd
Job posted by Wells Fargo India Solutions Pvt Ltd

Similar jobs you can apply for

Software / Web Developer

Mobile Application Developer

Cubefore Solutions Private Limited
LB Nagar, Hyderabad
₹15,000 - ₹18,000
Work from Office
Full Time
Freshers only
Basic English
Navabharat Limited

Trainee Process Reengineering Consultant

Navabharat Limited
Madhapur, Hyderabad
₹20,000 - ₹30,000
Work from Office
Full Time
Any experience
Good (Intermediate / Advanced) English
Bhati Solitaire Llp

Quality Control Executive

Bhati Solitaire Llp
Ramgopal Pet, Hyderabad
₹13,000 - ₹18,000
Work from Office
Full Time
Min. 2 years
Basic English
Meritocracy Techlytics Private Limited

Full-stack Developer

Meritocracy Techlytics Private Limited
Madhapur, Hyderabad
₹20,000 - ₹1,00,000
Work from Office
Full Time
Any experience
Basic English
Mangatrai Neeraj Jewellers Private Limited

Data Analyst

Mangatrai Neeraj Jewellers Private Limited
Banjara Hills, Hyderabad
₹45,000 - ₹62,000*
Work from Office
Full Time
Min. 5 years
Good (Intermediate / Advanced) English
EFS facilities services India pvt ltd

Engineering Supervisor

EFS facilities services India pvt ltd
Gopanapalli Thanda, Hyderabad
₹24,000 - ₹26,000
Work from Office
Full Time
Min. 5 years
Basic English