Responsibilities:

Job Description:

Key Responsibilities:
Designs, implements and maintains reliable and scalable data infrastructure
Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data
Designs, develops, and delivers large-scale data ingestion, data processing, and data transformation projects on the Azure cloud
Mentors and shares knowledge with the team to provide design reviews, discussions and prototypes
Works with customers to deploy, manage, and audit standard processes for cloud products
Adheres to and advocates for software & data engineering standard processes (e.g. technical design and review, unit testing, monitoring, alerting, source control, code review & documentation)
Deploys secure and well-tested software that meets privacy and compliance requirements; develops, maintains and improves CI / CD pipeline
Service reliability and following site-reliability engineering standard processes: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Designs, builds,



deploys and maintains infrastructure as code. Containerizes server deployments.
Part of a cross-disciplinary team working closely with other data engineers, software engineers, data scientists, data managers and business partners in a Scrum/Agile setup

Job Requirements:

Education :

Bachelor or higher degree in computer science, Engineering, Information Systems or other quantitative fields

Experience :

1) Years of experience: 8 to 12 years relevant experience

2) Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex settings

3) Hands on experience with:

a) Spark for data processing (batch and/or real-time)

b) Configuring Delta Lake on Azure Databricks

c) Languages: SQL, pyspark, python

d) Cloud platforms: Azure

e) Azure Data Factory (must) , Azure Data Lake (must), Azure

📌 Data Architect Bengaluru
🏢 LanceSoft
📍 Bengaluru