Azure Data Engineer | 4 to 10 years | Navi Mumbai | 18 to 30 LPA | Big4
Actively Reviewing the ApplicationsAcme Services
Job Description
Job Title: Azure Data Engineer
Experience: 5 to 10 Years
Budget: 20 to 30 LPA
Location: Navi Mumbai
Type: Full-Time
Skills Required: Azure, Synapse, ADF, spark, SQL, Pyspark, spark-SQL
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
•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. Data Engineering pipelines, 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,
Architects, 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: 6 to 9 years relevant experience
2) Deep and hands-on experience building, productionizing, maintaining and
documenting reliable and scalable data infrastructure and data products in
complex environments
3) Hands on experience with:
a) Spark for data processing (batch and/or real-time) - must
b) Configuring Delta Lake on Azure Databricks – good to have
c) Languages: SQL, pyspark, python - must
d) Cloud platforms: Azure - must
e) Azure Data Factory (must) , Azure Data Lake (must), Azure SQL DB (must),
Synapse (must), SQL Pools (must), Databricks (good to have)
f) Building data solutions in Azure incl. data distributions and partitions,
scalability, cost-management, disaster recovery and high availability
g) Azure Devops (or similar tools) for source control & building CI/CD pipelines –
good to have
4) Experience in implementing large-scale distributed systems
5) Customer management and front-ending and ability to lead large
organizations through influence
Desirable Criteria :
• Strong customer management- own the delivery for Data track with customer
stakeholders
• Continuous learning and improvement attitude
Key Behaviors :
• Empathetic: Cares about our people, our community and our planet
• Curious: Seeks to explore and excel
• Creative: Imagines the extraordinary
• Inclusive: Brings out the best in each other
Required Skills
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