Data Engineer

Job Description Summary:

What you need to know about the role:
The ideal candidate is customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You are passionate about building platforms at scale, cutting-edge technology, innovation, winning in the market and delivering on their commitments. You should have technical expertise and working experience in similar to lead technical and data science discussions and guide cross-functional teams through functional definition, solution, and integration on large scale.
A data engineer passionate to deliver quality deliverables in a fast-paced environment with an undivided customer focus.

Meet our team
Our team plays a critical role in building and managing a Accounting and Regulatory data platform in Cloud. We focus on solution design, development, delivery, and ongoing support and management of the platform, and optimize a wide range of business data use cases. As part of this team, you will work on cutting-edge technology to drive data innovation and efficiency across the organization. If youre passionate about big data and cloud technologies, and eager to make a significant impact, we want to hear from you!

Job Description:

Your way to impact -

• Collaborate with cross-functional teams to understand business requirements and deliver scalable solutions.

• Define, architect, and manage the full lifecycle of data products.

• Employ creative thinking and innovative approaches to problem-solving.

• Proactively identify potential issues and communicate them effectively to both the team and management.

• Thrive in a fast-paced environment, adapting quickly to ambiguous problem statements.

• Deliver high-quality results from initial concepts.

Your day to day -

In this role, the individual will be part of our ARP engineering team and will be responsible for.

• Participating and collaborating with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.

• Planning the execution of the project in an effective and efficient manner.

• Approaching the problem, taking into account all possibilities and options.

• Creativity and out of the box thinking is required.

• Proactively anticipating problems and appropriately communicating to the team and management in a timely manner.

• Being flexible and being able to support all functions of product life cycle when required.

• Ability to work in a fast-paced environment.

• Ability to deliver from coarse grained requirements.

• Be a Mentor for the junior members in the organization.

What do you need to bring-

• 7-12 years of experience in the IT industry, experience in Data Technology space is preferred.

• Proficiency on Google Cloud Platform, Big Data , Streaming Integrations

• Experience in any programming language like PySpark , Python , Scala, and Spark

• Working experience in any MPP systems, should have strong SQL programming skills.

• Knowledge of data warehousing concepts

• Excellent written and oral communication skills

• Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.

• Expertise in database programming and performance tuning techniques

• Familiar with data movement techniques and best practices to handle large volumes of data.

• Experience with data warehousing architecture and data modeling best practices

• Experience with File Systems, server architectures, and distributed systems

• Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.

• Working experience in an Agile methodology is highly preferred.

• Knowledge of UI, Fullstack, UX, Hadoop, Spark, HBase and Hive is highly preferred.

• Knowledge and Working experience on Cloud platforms is highly preferred

• Knowledge in MPP Databases/ Distributed systems

• Knowledge on Big data Environments and Cloud integration

• Exposure to Data Quality and Profiling tools is a plus.

• Exposure to any of the BI tools desired ( Tableau, Looker, Micro strategy, Business Objects)

• Programming language is added advantage