Job Description

• Bangalore, India

Description

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favourite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organisations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energised to roll up their sleeves and help realise Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About The Role:

This is a partnership-heavy role. As a member of the Data team, you will enable various functions of the company to be data-driven.

As a Data Engineer, you will take on big data challenges in an agile way. You will build data pipelines that enable data scientists, analytics and operation teams, and executives to make data accessible to the entire company. You will also build data models to deliver insightful analytics while ensuring the highest standard in data integrity. You are encouraged to think out of the box and play with the latest technologies while exploring their limits. Successful candidates will have strong technical capabilities, a can-do attitude, and are highly collaborative.

What You Will Do:

• Designing, building and launching extremely efficient and reliable data pipelines to move data across a number of platforms, including Data Warehouse and real-time systems.
• Developing strong subject matter expertise and managing the SLAs for those data pipelines.
• Knowledge of BI tooling and platforms to help the team create dynamic tools and reporting.
• Assessing options and opportunities in order to provide recommendations to business partners and stakeholders.
• Partnering with Data Scientists and business partners, like analytics teams and system administrators, to develop internal data products to improve operational efficiencies organizationally.

Here are some examples of our work:

•  Data Pipelines - Create new pipelines or rewrite existing pipelines using SQL or Python.
•  Data Quality and Anomaly Detection - Improve existing tools to detect anomalies real time and through offline metrics
•  Data Modeling - Partner with analytic consumers to improve existing datasets and build new ones

What You Will Bring:

• 2 to 5 years of experience in a Data Engineering role, with a focus on data warehouse technologies, data pipelines and BI tooling.
• Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or related technical discipline.
• Expert knowledge of SQL and of relational database systems and concepts.
• Experience with data architectures and data modeling and data infrastructure ecosystems.
• Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, Gainsight, etc.
• Experience with ETL pipeline tools like Airflow, and with code version control systems like Git.
• The ability to communicate cross-functionally, derive requirements and architect shared datasets; the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives.
• The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.