Data Engineer (aws/ Azure) Job in Nice Software Solutions Pvt Ltd

Senior Data Engineer AWS/Azure (5 8 Years) Nagpur, Pune, Bangalore Full-Time

Job Type: Full-Time
Location: Nagpur / Pune / Bangalore
Experience Required: 5 to 8 years
Work Shift: Rotational
Open Positions: 4

Job Overview:

We are hiring experienced Data Engineers with expertise in AWS and Azure cloud platforms for our offices in Nagpur, Pune, and Bangalore. Ideal candidates will be responsible for building and optimizing data pipelines, managing large-scale data solutions, and collaborating with cross-functional teams. If you are passionate about cloud data architecture, real-time processing, and analytics, this role is for you.

Key Responsibilities:

For AWS Data Engineer:

• Lead data engineering initiatives and mentor junior developers.
• Collaborate with product, application, and support teams for seamless data integration.
• Develop scalable data infrastructure using AWS services: S3, Glue, Lambda, SNS, SQS, Redshift, and RDS.
• Write optimized SQL queries for large datasets and handle complex data transformations.
• Build and manage ETL pipelines using Spark, PySpark, and Hadoop ecosystem.

For Azure Data Engineer:

• Build, test, and maintain optimal data pipelines and data lake architectures on Microsoft Azure.
• Assemble large, complex data sets to meet functional and non-functional business requirements.
• Improve data reliability and pipeline performance by automating manual processes.
• Collaborate with analytics and data science teams to deliver meaningful insights and BI solutions.
• Work with Azure Data Factory, Spark, Kafka, Hive, Sqoop, MapReduce, and Spark Streaming.

Required Skills:

AWS Data Engineer:

• Strong hands-on experience with AWS cloud services: S3, Glue, SNS, SQS, Lambda, Redshift, RDS.
• Proficient in Python programming and SQL query optimization.
• Familiar with Spark, PySpark, Hadoop, Hive, and Spark-SQL.

Azure Data Engineer:

• Hands-on experience with Azure data services and data architecture.
• Skilled in Big Data tools: Spark, Hive, Sqoop, Kafka, MapReduce.
• Experience with stream processing frameworks: Spark Streaming, Storm, etc.

Join our cloud data engineering team and help shape intelligent, scalable data solutions! Apply now for the Data Engineer (AWS/Azure) position in Nagpur, Pune, or Bangalore.