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American Express is hiring for an Data Engineer job in Bengaluru 2024. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.
Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at American Express for the position of an Data Engineer in Bengaluru. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Data Engineer Job in Bengaluru or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.
About Company
American Express, often known as Amex, is a globally integrated payments company that has been serving customers since 1850. Renowned for its credit card, charge card, and travel services, American Express provides a wide range of financial products and services, including corporate programs, life and travel insurance, and membership rewards. The company is committed to delivering exceptional customer experiences and maintaining high standards of integrity and excellence. With a diverse workforce of over 60,000 employees, Amex strives to back its customers, colleagues, and communities, ensuring a positive impact through its enterprise ESG strategy and community giving initiatives.
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About Job Role
As a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable framework/services/application/pipelines for processing huge volume of data. You will work closely with cross-functional teams to deliver high-quality software solutions that meet our organizational needs.
American Express is hiring for an Data Engineer in Bengaluru | |
Job ID | 24019312 |
Job Role | Data Engineer – ETL , SQL , Python , pyspark , GCP |
Education Qualification | Bachelor’s Degree |
Salary Package | 8.7 LPA or as per company standards |
Experience | Freshers / Experienced Candidates |
Job Location | Bengaluru |
Last apply date | ASAP |
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Responsibilities
- Design and develop solutions using Bigdata tools and technologies like MapReduce, Hive, Spark etc.
- Extensive hands-on experience in object-oriented programming using Python, PySpark APIs etc.
- Experience in building data pipelines for huge volume of data.
- Experience in designing, implementing, and managing various ETL job execution flows.
- Experience in implementing and maintaining Data Ingestion process.
- Hands on experience in writing basic to advance level of optimized queries using HQL, SQL & Spark.
- Hands on experience in designing, implementing, and maintaining Data Transformation jobs using most efficient tools/technologies.
- Ensure the performance, quality, and responsiveness of solutions.
- Participate in code reviews to maintain code quality.
- Should be able to write shell scripts.
- Utilize Git for source version control.
- Set up and maintain CI/CD pipelines.
- Troubleshoot, debug, and upgrade existing application & ETL job chains.
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Requirements
- Bachelor’s degree in Computer Science Engineering, or a related field.
- Proven experience as Data Engineer or similar role.
- Strong proficiency in Object Oriented programming using Python.
- Experience with ETL jobs design principles.
- Solid understanding of HQL, SQL and data modelling.
- Knowledge on Unix/Linux and Shell scripting principles.
- Familiarity with Git and version control systems.
- Experience with Jenkins and CI/CD pipelines.
- Knowledge of software development best practices and design patterns.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications
- Good to have experience with cloud platforms such as Google Cloud.
- We back our colleagues and their loved ones with benefits and programs that support their holistic well-being.
- That means we prioritize their physical, financial, and mental health through each stage of life.
Benefits
- Competitive base salaries.
- Bonus incentives.
- Support for financial-well-being and retirement.
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location).
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.
- Generous paid parental leave policies (depending on your location).
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location).
- Free and confidential counseling support through our Healthy Minds program.
- Career development and training opportunities.
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Why Join American Express?
- Joining American Express as a Data Engineer is a chance to be part of a globally recognized organization known for its commitment to both customer excellence and employee growth.
- The company offers a supportive environment where every team member is valued, fostering a culture that celebrates contributions and success.
- With a focus on integrity and collaboration, American Express provides a strong foundation for professional growth, making it a rewarding place for those in Data Engineer roles, whether seasoned professionals or those seeking a Data Engineer internship.
- American Express emphasizes continuous development, offering structured training and career progression opportunities that help you advance in your data engineering journey.
- Additionally, the company values work-life balance through a flexible hybrid work model, enabling employees to contribute meaningfully while maintaining a healthy personal life.
- Compensation packages are competitive, including a Data Engineer salary that aligns with industry standards, coupled with performance-based bonuses.
- As part of American Express, Data Engineers work with cutting-edge tools like Python, PySpark, ETL, SQL, and Google Cloud, building robust, scalable data solutions that drive the company’s mission.
- The role is enriched with various benefits that prioritize well-being, including medical coverage, retirement support, paid parental leave, and access to wellness centers.
- With a strong focus on diversity, equity, and inclusion, American Express ensures all employees feel respected and supported in their roles.
Career Growth and Opportunities
- At American Express, we aim at creating a work culture wherein Data Engineers will not only work but will also develop and grow in every aspect of the career.
- With a robust framework for professional development, Amex provides data engineers with hands-on experience across a wide range of technologies, including Big Data tools, Python, SQL, PySpark, and cloud platforms like Google Cloud.
- These experiences enhance the data engineers skills and enable them to manage intricate tasks on data and engage in significant projects that have outcomes on the company’s operations in different countries.
- The American Express Data Engineer job entails growth and development prospects and further benefits upon a promotion are supported with career development aids.
- Besides the comprehensive training and induction courses available, recruitment and training of personnel also include a lot of activities on the job such as coaching in areas like developing ETL pipelines, data modeling and data transformation.
- Doing this equips the engineers with the latest skills in the field of data engineering, but also writing a strong book toward growth in the organization.
- In addition, Amex compensates people for their hard work in forms of salary offers for the position of a Data Engineer that fit in within the industry trends, and also in the form of bonuses depending on performance.
- Finally, for those looking to get basic understanding and experience, there are internship programs for aspiring Data Engineers which allow for entry into the company at lower levels.
- Supported by the principles of cooperative enhancement and constant education, American Express also ensures that the aspirations of the Data Engineers in terms of career growth and development are realized through innovations aimed at improving and transforming the practice of data engineering.
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Industry Impact of the Role
- In the American Express Data Engineer position, you will be an important part of enhancing the company’s data capabilities core to its purpose of providing utmost customer experience across the globe.
- Leading in the financial services sector, American Express employs various data solutions, not only to improve its offerings, but also to base decisions on data.
- In this Data Engineer position, you’ll make an impact by creating and improving on large data pipelines and structures that drive and provide information on businesses and their customers.
- The technologies you will operate – ETL, SQL, Python, PySpark and Google Cloud Platform (GCP) – will be of great importance when it comes to putting raw information to work.
- The significance of this role in the organization is growing and allows for reasonable career growth whether you’re looking for Data Engineer internship or long term Data Engineer position.
- The involvement in such projects is also emphasized by the attractive remuneration packages provided, including the Data Engineer salary which is based on the profile’s skills and experience.
- To work for American Express, also means to join a global family, which consists of professional people who stand for honesty, teamwork and lifelong development, that lets you advance your career without damaging life and the industry you work in.
Learning and Development Opportunities
- Working at American Express ensures an interactive workplace that fosters growth and skill acquisition, especially for data engineers aspiring to achieve greater career heights.
- In a Data Engineer job position at American Express, you are more than welcome to step up your abilities in a variety of directions, including big data systems, ETL techniques, and cloud systems such as Google Cloud.
- Additionally, the firm delivers various learning and development opportunities, which help data engineers to get always updated with the changing trends and practices of the field of data engineering.
- They obtain the aforementioned abilities through the actual work with Python, PySpark, SQL, or embedding into the CI/CD pipelines, which every data engineer is learned for and highly sought in the market.
- American Express goes a step further and offers the employees an opportunity for personal and career development with relevant programs aimed at building technical and leadership capabilities.
- As for someone looking for Data Engineer internship type of positions closer to the start of the career ladder, the position also offers numerous benefits such as useful work experience which serves as stepping stone for the career progression.
- Last but not least, American Express is known for paying attractive salaries for Data Engineers and the friendly environment encourages specialists to spend time on development and self-improvement while working on interesting projects.
Application Tips and Common Mistakes
- Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including Unix/Linux, SQL is crucial.
- Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
- Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.
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🔴 Note : ⤵️
- Read all criteria and information carefully and make changes in resume according to that by adding relevant keywords so that their are more changes to get an interview call, otherwise you will lose an opportunity.
- So make sure that read all the info and then proceed to apply.
- This all the job description we are taken from company’s official Page, so do check it.
- Check salary(given salaries are according to Glassdoor & Ambition-box), qualification and other details on the company’s official website as well.
- Before applying check once the company’s profile and what company actually do and which role they are hiring.
✅Best of luck👍 and have a Great future ahead.✨
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👨💼About the Author ⤵️
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