HSBC Hybrid Job Opportunities | Apply Right Now

HSBC Hybrid Job Opportunities: HSBC offers hybrid job opportunities for Data Engineers, seeking professionals skilled in data management, analytics, and cloud technologies. The function entails building and optimizing facts pipelines, making sure of information accuracy, and taking part with go-purposeful teams to drive facts-pushed solutions. 

• Job Description: HSBC Hybrid Job Opportunities
• Company: HSBC
• Location: Pune (Hybrid)
• Compensation: ₹15-20 Lacs P.A.
• Qualification: Any Graduate
• Employment Type: Full-Time, Permanent

About Company:

HSBC is a global banking and financial services employer, mounted in London, with a sturdy presence in over 60 nations. It offers a huge sort of services collectively with retail banking, commercial banking, investment banking, and wealth control. Known for its commitment to sustainability, HSBC specializes in helping corporations and people through revolutionary solutions, monetary inclusion, and accountable growth.

HSBC Hybrid Job Opportunities Job Description:

The Data Engineer will be responsible for designing and developing scalable, efficient data processing solutions. A hands-on approach to big data technologies is essential, as well as experience with CI/CD methodologies and pipeline scheduling tools. A background in the banking domain is preferred, as the role will require an individual contributor who thrives in a fast-paced, agile environment.

Key Responsibilities:

Data Processing Solutions Development: The number one responsibility will be to layout and increase scalable and green records processing answers the usage of technologies including Scala (2.10+), Python, and massive information gear consisting of Hadoop, Spark, and Hive. 

Cluster Management and Optimization: The candidate will work with YARN for cluster management, ensuring that information workflows are optimized for both performance and reliability. 

Pipeline Orchestration: The Data Engineer will leverage pipeline orchestration tools which include Control-M or Airflow to timetable and display ETL (Extract, Transform, Load) tactics.

Collaboration with Stakeholders: The role requires collaboration with numerous stakeholders to recognize records requirements and put into effect strong answers tailor-made to business desires. The candidate need to be capable of translating technical answers into person-pleasant techniques.

CI/CD Automation: The Data Engineer may be responsible for automating deployment pipelines and streamlining development techniques using CI/CD equipment along with Jenkins, GitHub, and Ansible. 

Testing and Quality Assurance: Developing and executing check plans might be a core part of the position, along with smoke, unit, integration, and overall performance trying out. 

Development and Deployment Across Environments: The candidate needs to have the potential to paint on both Windows and Linux/Unix environments for improvement and deployment purposes.

Skills and Qualifications:

Programming Languages: Strong improvement experience with Scala (2.10+) and Python, each of which might be critical for records engineering projects.

Big Data Technologies: Hands-on information in Hadoop, Spark, Hive, and YARN for working with big-scale facts processing and cluster control.

Pipeline Management Tools: Proficiency with pipeline orchestration gear like Control-M or Airflow for coping with ETL procedures.

CI/CD Tools: Experience with Jenkins, GitHub, and Ansible to enforce non-stop integration and non-stop shipping (CI/CD) practices.

Operating Systems: Familiarity with both Windows and Linux/Unix environments is vital for the role, as improvement and deployment may also take area throughout each structure.

Test Methodologies: Strong knowledge of check methodologies and experience in growing and executing smoke, unit, integration, and overall performance testing.

Educational Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering roles with a focus on big data technologies, CI/CD, and pipeline management.

Benefits at HSBC:

Competitive Salary and Bonuses: Attractive pay applications and overall performance-primarily based incentives.

Comprehensive Health Coverage: Includes clinical, dental, and imaginative and prescient plans for personnel and their families.

Retirement Plans: Generous pension schemes and financial making plans support.

Click Here To Apply Online

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