Big Data Engineer - Azure Databricks

Posted 4 Days Ago
Hiring Remotely in USA
Remote
3-5 Years Experience
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
The Big Data Engineer will lead the technical planning for data migration projects, design and implement scalable data pipelines using Azure Databricks, and ensure data quality and integrity. Responsibilities include working with cross-functional teams on data solutions across various functions and providing technical support during and after migration.
Summary Generated by Built In

Company Description

👋🏼 We're Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

In this role, you will work with our Business Analytics & Insights (BAI) team, collaborating with cross-functional teams to deliver high-quality data solutions in areas such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.

Responsibilities:

  • Lead the technical planning for data migration, including data ingestion, transformation, storage, and access control within Azure Data Factory and Azure Data Lake.
  •  Design and implement scalable, efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks.
  •  Develop reusable frameworks for the ingestion of large datasets.
  •  Ensure data quality and integrity by implementing robust validation and cleansing mechanisms throughout the data pipeline.
  •  Work with event-based/streaming technologies to ingest and process data in real-time.
  •  Provide technical support to the team, resolving challenges during the migration and post-migration phases.
  •  Stay current with the latest advancements in cloud computing, data engineering, and analytics technologies; recommend best practices and industry standards for data lake solutions.

Qualifications

  • Min. 4 years of IT experience.
  • Min. of 4 years working with Azure Databricks.
  • Proficiency in Data Modeling and Source System Analysis.
  • Strong knowledge of PySpark and SQL.
  • Experience with Azure components: Data Factory, Data Lake, SQL Data Warehouse (DW), and Azure SQL.
  • Experience with Python for data engineering purposes.
  • Ability to conduct data profiling, cataloging, and mapping for technical design and construction of data flows.Familiarity with data visualization/exploration tools.

Top Skills

Pyspark
Python
SQL
The Company
19,994 Employees
Remote Workplace
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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