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Target - Senior Data Engineer - Scala/Hadoop
4 months ago
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
