Transformative Data Solutions Expert

2 days ago

Pune, Maharashtra, India beBeeDataArchitect Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Senior Data Architect

About the Role:

We are seeking an experienced Senior Data Architect to lead our data engineering team. As a key member of our organization, you will be responsible for designing and implementing scalable data architectures following industry best practices.

Your primary focus will be on developing and optimizing ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics. You will also be responsible for performing data ingestion, transformation, and orchestration across structured and unstructured datasets.

Key Responsibilities:

  • Design and implement scalable data architectures following industry best practices.
  • Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics.
  • Perform data ingestion, transformation, and orchestration across structured and unstructured datasets.
  • Write and optimize SQL queries for data extraction, transformation, and analysis.
  • Implement CI/CD pipelines for data workflows using Azure DevOps.
  • Collaborate with stakeholders to understand data requirements and ensure data availability.
  • Ensure data governance, security, and compliance in Azure-based data solutions.
  • Monitor and troubleshoot data pipelines to maintain reliability and performance.
  • Stay updated with the latest Azure and big data technologies and implement best practices.
  • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
  • Carrying out POCs to make sure that suggested design/technologies meet the requirements.

About Our Ideal Candidate:

We are looking for a highly skilled and experienced data architect who can lead our data engineering team. The ideal candidate will have a strong background in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks, and expertise in SQL, T-SQL, and Python for data processing and transformation.

Requirements:

  • Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks.
  • Expertise in SQL, T-SQL, and Python for data processing and transformation.
  • Hands-on experience with PySpark for big data processing.
  • Experience in designing ETL/ELT pipelines and working with large datasets.
  • Proficiency with Azure Data Lake (ADLS) Gen2 for data storage and processing.
  • CI/CD and DevOps knowledge, including Azure DevOps, Git, and automated deployments.
  • Understanding of data modeling, data warehousing, and schema design principles.

About Us:

We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms.

We take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client's business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user.

We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to 'act and accomplish'. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you.

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