Wells Fargo Job Openings: Wells Fargo is hiring a Lead Data Engineer to lead data engineering efforts, build scalable data solutions, and ensure data integrity. The role involves collaborating with teams to implement advanced data models, overseeing data pipeline development, and leveraging cloud technologies. Strong experience in data engineering and leadership is required.
- Position: Lead Data Engineer
- Company: Wells Fargo
- Location: Chennai
- Salary: Not Disclosed
- Employment Type: Full Time, Permanent
About Company:
Wells Fargo is a main American multinational economic services enterprise, based in San Francisco, California. It provides a wide variety of banking, funding, loans, and patron and business monetary offerings. Established in 1852, Wells Fargo serves millions of clients through its worldwide community of branches, online structures, and ATMs. Known for its dedication to innovation and community, the business enterprise emphasizes sustainable increase, purchaser acceptance as true, and financial inclusion, retaining a sturdy presence in each retail and company banking sector.
Wells Fargo Job Openings Job Description:
Wells Fargo seeks a Lead Data Engineer to lead complex data initiatives, design scalable systems, and optimize performance. The role involves working with Big Data platforms (Spark, Hadoop), integrating SQL/NoSQL databases, and leveraging cloud technologies (AWS, GCP). Requires 5+ years’ experience in database engineering, Spark optimization, and distributed systems. Strong leadership, collaboration, and Agile expertise are essential.
Key Responsibilities:
Strategic Leadership:
- Lead complex tasks with broad organizational effect.
- Act as a key player in large-scale software making plans for technology tasks.
- Collaborate with stakeholders to resolve excessive-chance information engineering challenges.
Design and Development:
- Design, develop, and put into effect gear to identify and cope with troubles in facts and programs.
- Collaborate with engineering and product management to file and mitigate troubles.
- Build cloud-equipped business enterprise answers leveraging systems like AWS, Google Cloud, and Pivotal Cloud Foundry.
Performance Optimization:
- Conduct Spark question tuning and performance optimization for green information processing.
- Ensure compliance with statistics governance and security requirements for the duration of development and deployment.
Data Engineering:
- Work significantly with Spark, Hadoop, and Big Data technologies.
- Implement ETL/ELT processes with the use of tools like Unix shell scripting.
- Integrate SQL & NoSQL databases (MS SQL Server, MongoDB) with Spark for effective facts control.
Collaboration and Consultation:
- Work carefully with internal partners to identify and put in force technical and operational improvements.
- Mentor junior engineers and offer technical steerage to the group.
Agile Practices:
- Utilize Agile methodologies to supply fantastic software program solutions.
- Actively take part in Agile ceremonies, consisting of dash planning and retrospectives.
Innovation:
- Stay updated with the present-day tendencies in records engineering and enforce progressive answers.
- Design allotted systems making sure consistency, partitioning, and replication.
Required Qualifications:
- Experience: Minimum of 5+ years of Database Engineering or equal experience proven through paintings, schooling, military experience, or schooling.
- Technical Expertise: Strong background in software engineering, statistics engineering, and disbursed structures.
Educational Background: Bachelor’s degree or better in Computer Science or an associated area.
Technical Skills:
- 5+ years of enjoy in Spark, Hadoop, and Big Data technologies.
- Proficiency in Spark SQL, Streaming, and Data Frame/Dataset API.
- Deep information on Hadoop/Cloud platforms, HDFS, and ETL/ELT techniques.
- Experience with disbursed systems (CAP theorem, partitioning, bucketing, replication, and consistency).
Database Expertise:
- five+ years of revel in with RDBMS (SQL Server, Oracle, MySQL).
- 3+ years of experience with SQL & NoSQL database integration using tools like MongoDB.
Performance Optimization: 3+ years of expertise in Spark query tuning and optimization.
Cloud and Microservices:
- three+ years of revel in constructing cloud-ready answers in AWS, GCP, or PCF.
- Three+ years of enjoy in microservices improvement.
Kafka and Real-time Processing: 2+ years of enjoyment with Apache Kafka or Confluent Enterprise.
Agile Methodology: 2+ years of enjoy in Agile environments.
Skills and Competencies:
Technical:
- Expertise in Big Data structures and tools like Spark, Hadoop, and Kafka.
- Strong programming abilties in Java, Scala, or Python.
- Knowledge of cloud structures and services, together with AWS and GCP.
- Proficiency in Unix shell scripting for automation.
Analytical and Problem-Solving:
- Ability to investigate complex software program enhancement tasks.
- Skill in identifying and resolving records engineering challenges.
Collaboration:
- Ability to work independently and in team environments.
- Strong verbal exchange competencies to effectively collaborate with internal and outside stakeholders.
Leadership:
- Experience in leading projects and mentoring group participants.
- Ability to drive organizational change through era innovation.
Benefits at Wells Fargo:
Comprehensive Health Coverage: Medical, dental, and imaginative and prescient plans to support personnel and their families’ well-being.
Retirement Plans: 401(okay) with business enterprise matching to help employees keep for his or her destiny.
Paid Time Off (PTO): Generous excursion, unwell leave, and excursion pay to preserve paintings-lifestyles stability.
Employee Development: Opportunities for career growth through education, leadership applications, and lessons help.
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