WovV Technologies

Found in: Whatjobs IN C2 - 3 weeks ago

Anywhere in IndiaMultiple Locations Wovv Technology Full time

Job Description: Data Engineer

Location: Remote

Experience: 5+ years.

Durations: 6 months with a very likely extension

Mandatory Technology: DBT, SQL, Snowflake,data integration practices, and Tableau

Primary Skills: Expertise in transaction refunds and a comprehensive understanding of tax and VAT rule engines will be considered a significant advantage.

Shift Details: UK shift

Roles and Responsibilities:

- Engineering, upgrading, and overseeing data flow systems to ensure efficient data migration into diverse storage systems.

- Constructing and upholding solutions for data warehouses and data lakes.

- Forging and implementing data structures that cater to a variety of business needs.

- Scripting proficient and robust codes using languages such as SQL.

- Spearheading data solution design with an emphasis on quality, automation, and performance.

- Managing and enhancing data platform pipelines for reliability and scalability.

- Guaranteeing that data is accessible in a condition and time frame that suits business and analytical needs.

- Collaborating with the Data Governance team to ensure adherence to regulations like GDPR and CISO policies, and integrating data quality directly into conduits.

- Engaging with interdisciplinary teams to comprehend data necessities and providing assistance for data-centric projects.

- Engaging with stakeholders and clients, addressing their data needs with tailored solutions.

- Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication.

Required Skills and Experience:

- Extensive experience leading transformations of cloud data platforms.

- Demonstrated success in deploying large-scale data and analytical solutions in cloud environments. Hands-on proficiency in creating comprehensive data pipelines on DBT.

- Deep understanding of contemporary data architectures (Data Lake, Warehouse, and Lakehouse).

- Solid comprehension of data architecture and data modeling techniques.

- Efficient management of data pipelines from a cost perspective.

- Familiarity with CI/CD-driven data pipelines and infrastructure.

- Agile delivery methodology using Scrum and Kanban frameworks.

- Ability to independently scope, estimate, and deliver tasks on time within an agile framework.

- Proactive in enhancing data processes.

- Inherent drive to learn and adopt new skills and technologies.

- Capability to excel in a rapidly evolving setting.

- Proficiency in managing projects efficiently and addressing challenges collaboratively.

- Driven by goals and a result-focused mindset.

- Detail-oriented with thoroughness.

- Strong communication skills, competent in presenting, informing, and guiding others.

- Aptitude for bridging the gap between technical and business-focused groups.

- Comfortable engaging with individuals at all organizational levels.

(ref:hirist.tech)

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