Azure Data Engineer

Tap Growth ai; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tap Growth ai in Bengaluru, India, seeks an Azure Data Engineer with 8+ years of experience to design and implement robust data pipelines on Microsoft Azure. The role focuses on data architecture, ETL processes, and cloud-based solutions to drive our data strategy in support of business objectives.

You will analyze and optimize data storage, develop ETL processes, and collaborate with cross-functional teams to define data requirements while staying ahead of emerging technologies to enhance our

Qualifications

• Experience with Azure data services such as Azure SQL Database and Data Lake.
• Strong SQL skills and programming in Python or Scala.
• Familiarity with big data technologies like Hadoop or Spark.
• Excellent problem-solving and attention to detail.
• Ability to work independently and in a team.
• Strong communication to convey complex technical concepts.

Responsibilities

• Design and implement robust data pipelines on Microsoft Azure.
• Analyze and optimize data storage solutions for efficiency.
• Develop ETL processes to ensure data quality and integrity.
• Collaborate with cross-functional teams to define data requirements.
• Monitor performance metrics and troubleshoot issues effectively.
• Stay updated on emerging technologies to enhance data capabilities.

Skills

SQL

Python/Scala

Azure Data Services

Big data (Hadoop/Spark)

Problem solving

Communication

Tools

Azure SQL Database

Data Lake

Hadoop

Spark

Job description

We are looking for a skilled Azure Data Engineer with at least 8 years of experience to join our dynamic team in Bangalore Urban, India. The ideal candidate will possess expertise in data architecture, ETL processes, and cloud-based solutions, driving our data strategy to support business objectives.

What You'll Do:

• Design and implement robust data pipelines on Microsoft Azure.
• Analyze and optimize data storage solutions for efficiency.
• Develop ETL processes to ensure data quality and integrity.
• Collaborate with cross-functional teams to define data requirements.
• Monitor performance metrics and troubleshoot issues effectively.
• Stay updated on emerging technologies to enhance our data capabilities.

What We're Looking For:

• Proven experience with Azure Data Services (e.g., Azure SQL Database, Data Lake).
• Strong knowledge of SQL and programming languages like Python or Scala.
• Familiarity with big data technologies such as Hadoop or Spark.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently as well as part of a team.
• Strong communication skills to convey complex technical concepts clearly.