Senior Data Engineer - ETL
Gurgaon
Srijan Technologies
Srijan is a digital experience services company that helps global Fortune 500s to nonprofits build transformative digital paths to a better future.Location: Gurgaon,None,None
About us
We turn customer challenges into growth opportunities.
Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe
Job Description:
We are looking for a passionate Databricks Developer to join our data engineering team. In this role, you will help build and maintain ETL pipelines, optimize data models, and contribute to reporting processes. You will gain hands-on experience with Databricks and cloud technologies, contributing to key data management and reporting initiatives.
Key Responsibilities:
Experience in Databricks for building ETL pipelines.
• Experience in building data model and optimizing queries.
• Experience with data management and reporting processes.
• Experience with medallion architecture and data governance.
- Build, test, and maintain scalable ETL pipelines using Databricks and Apache Spark.
- Contribute to the development of data models and optimize queries for performance and efficiency.
- Participate in the design and implementation of data governance practices, ensuring data quality and consistency across pipelines.
- Assist in the implementation and maintenance of the medallion architecture (bronze, silver, gold layers) to streamline data processing and reporting.
- Collaborate with cross-functional teams to integrate data management and reporting processes into broader business initiatives.
- Troubleshoot and optimize Databricks workflows to enhance performance and reduce costs.
- Maintain clear documentation of ETL pipelines, data models, and governance procedures to ensure transparency and scalability.
Why work for Material?
In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Here’s a bit about who we are and highlights around what we offer.
Who We Are & What We Care About
Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare.
Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.
We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work.
A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Databricks Data governance Data management Data quality Engineering ETL Finance Pipelines Spark
Perks/benefits: Career development Startup environment
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