Job Description:

Job Title: Data Engineer

 

The Purpose of your role

Fidelity’s Advanced Process Solutions (APS) business unit is looking for Data engineering talent to help build technology solutions that are critical to strategic digitation efforts of the firm. The ideal candidate will have solid understanding of Snowflake design patterns and migration architectures along with strong hands-on experience in SQL, ETL, Python, Data Modeling and AWS. This role will play a key part in designing, developing, and maintaining the platform using Cloud and mature development strategies and ensuring the platform follows industry best practices around security, availability, resilience, and scalability.

The Team

As part of the Advanced Process Solutions division within Fidelity Investments, you will join a team of highly motivated & talented individuals tasked with building and maintaining data lake, reporting and governance solutions. This includes resolving platform technical needs, working with product owners and architects to determine the best technology choices and strategies to ensure success, and implementing solutions in a fast-paced, agile environment.

The Expertise You Have

• Bachelor’s Degree in Computer Science / similar technical subject area and/or equivalent experience

• 2+ years of overall experience

• Understanding of database concepts including design, schema, views, tokenization with any mainstream Database product such as Oracle etc.

• Strong skills in SQL including ability to write and tune complex queries

• Snowflake

  • Understanding of Snowflake roles and user security

  • Understanding of Snowflake capabilities like Snowpipe, STREAMS, TASKS etc.

  • Design solutions leveraging Snowflake native capabilities

  • Understanding of Snowflake design patterns and migration architectures

• Hands-on experience in AWS, Python and Apache airflow

• Hands-on experience with reporting tools such as PowerBI or Tableau is desirable

 

The Skills You Bring

• Hands-on experience with AWS, Git

• Strong understanding of ETL

• Excellent and effective communication required

• Strong problem resolution skills required

• Ability to work in an agile environment required

The Value You Deliver

• Accountable for consistent delivery of functional software – sprint to sprint, release to release

• Excellence in software development practices and procedures

• Participates in application-level architecture

• Develops original and creative technical solutions to ongoing development efforts

• Responsible for QA readiness of delivered software (end-to-end tests, unit tests, automation)

• Responsible for supporting implementation of moderate-scope projects or major initiatives

• Works on results-oriented and refined assignments and often multiple phases of a project

How your work impacts the organization

As a data engineer on the team you will:

·         Be a hands-on data engineer who brings experience working with cloud based scalable applications

·         Participate in identifying and building technologies, practices, and tools needed to build the data platform

·         Collaborate with diverse groups within the organization, implement the best engineering practices, and promote those across other APS products

·         Conduct demos, participate in technical reviews and deliver engineering excellence

 

Location : Bangalore - EGL

Shift timings: 11:00 am - 8:00pm IST

Certifications:

Category:

Information Technology