Data Engineer

5 days ago

Bengaluru, Karnataka, India SG Analytics Full time ₹ 9,00,000 - ₹ 12,00,000 per year

The Data Engineer should have strong data infrastructure and data architecture skills, a proven track record of administration for data engineering teams, strong operational skills to drive efficiency and speed, strong project management skills, and a core value base for how analytics can proactively improve organizations. You will be part of the Data & Analytics team and will partner closely with a team of data scientists, business analysts & business intelligence leading a cloud-based strategy for our clients.

You'll work on our Azure based data pipeline projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple technology platforms. Therefore, this role requires an understanding of how a secure data cloud environment is architected to gain real insights faster, with less friction and complexity. Ideal candidate should be a champion of building a distributed and scalable architecture that is metadata driven. You're also a detail-oriented person that believes data quality should never be sacrificed.

You'll need to be an innovative forward-thinker who will help lead end-to-end execution of data engineering initiatives and contribute directly to existing and emerging business strategies and goals. Creativity, Attention to detail and ability to work in a collaborative team environment are essential.

The Azure Data Engineer will work closely with the leadership teams to decide on needed infrastructure architecture and software design needs and act according to the decisions.

Must Have Skills- SQL, CI/CD Pipelines, Snowflake, Data Ingestion

Good to have skills- Any other cloud or BI Tools

Required Skills:

* Bachelors degree in Computer Science, Physics, Mathematics, Statistics or other Engineering disciplines

* 4+ years' experience (Azure Pref)

* 1-2 Years' experience with big data tools: Spark, Databricks

* 1-2 Years' experience with building relational SQL Data Warehouses

* 2-3 Years' experience with data pipeline and workflow management tools: Azure Data Factory, SSIS

* Experience with object-oriented/object function scripting languages: Python, C#, Scala, VBA, etc.

* Experience with systems scripting languages: Batch Scripts, Powershell

* Experience with Git/GitHub and automating builds

* Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience

* Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery

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