Target - Senior Data Engineer - Scala/Hadoop

3 weeks ago

Bengaluru, India Target Corporation Full time

Job Description :


- Senior Data Engineer you serve as a specialist in the engineering team that supports the product.

- You help develop and gain insight in the application architecture.

- You can distill an abstract architecture into concrete design and influence the implementation.

- You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems.

- You are an expert in programming and apply your skills in developing the product.

- You have the skills to design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation.

- You show good problem solving skills and can help the team in triaging operational issues.

- You leverage your expertise in eliminating repeat occurrences.

- Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. As a Sr. Engineer, you'll take the lead as you.

Role :

- Use your technology acumen to apply and maintain knowledge of current and emerging technologies within specialized area(s) of the technology domain.

- Evaluate new technologies and participate in decision-making, accounting for several factors such as viability within Target's technical environment, maintainability, and cost of ownership.

- Initiate and execute research and proof-of-concept activities for new technologies.

- Manage total product, financials and forecasting.

- Lead the design, lifecycle management, and total cost of ownership of services.

- Lead and conduct code review, design review, testing, and debugging activities at the application level.

- Lead functional design and architecture discussions with understanding of process flows and system diagrams to enable design decisions.

- Participate in routine and non-routine construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements and best practices met.

- Spearhead technology evaluations, ensuring alignment with business objectives and technical feasibility.

- Drive innovation through research initiatives, fostering a culture of continuous learning and experimentation.

- Manage product financials and forecasting, optimizing resource allocation for maximum efficiency.

- Facilitate design and architecture discussions, translating business requirements into scalable solutions.

- Mentor junior team members, fostering a collaborative and growth-oriented environment.

- Ensure adherence to data quality protocols, mitigating risks and enhancing operational efficiency.

- Provide technical oversight and coach others to resolve complex and severe technical issues.

- Lead disaster recovery activities and contribute to disaster recovery planning.

- Embed data quality protocols throughout data acquisition, processing, storage, and operational use.

About you :

- 4+ year degree or equivalent experience

- 2+ Years of software development experience

- Demonstrates strong domain-specific knowledge regarding Target's technology capabilities, and key competitors' products and differentiating features

- Working knowledge on package-specific configuration and deployment along with ability to build custom solutions

- Have experience in building Data Pipelines using Scala, Spark, Hadoop, HiveQL etc.

- Have experience with streaming frameworks such as Kafka.

- Have experience with Data Warehousing, Data Modelling and Data Profiling.

- Designs new testing methods and resolves routine and non-routine technical issues with minimal assistance

- Demonstrates strong proficiency in core development platforms within own domain

- Builds strong commitment within the team to support the appropriate team priorities

- Clearly communicates Agile concepts to partners within product team

- Demonstrates a solid understanding of the impact of own work on the team and/or guests

- Writes and organizes code using multiple computer languages, including distributed programming and understand different frameworks and paradigm

- Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)

- Influences and applies data standards, policies, and procedures

- Maintains technical knowledge within areas of expertise

- Stays current with new and evolving technologies via formal training and self-directed education

(ref:hirist.tech)

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