Senior Azure Data Engineer

About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:
We are seeking an experienced Azure Data Engineer to design, build, and maintain robust data solutions on the Microsoft Azure platform. The role involves developing and optimizing data pipelines, implementing data integration and transformation workflows, and ensuring data quality, security, and compliance. The ideal candidate will have strong expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and related services, with a solid understanding of big data, ETL processes, and cloud architecture. This position requires collaboration with data architects, analysts, and business stakeholders to deliver scalable and efficient data solutions that support the organization s analytics and business intelligence needs.

Key Responsibilities:
Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
Use Azure Data Factory and Databricks to assemble large, complex data sets. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Ensure data security and compliance.Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures.

Role Requirements and Qualifications:
Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams.
Experience with Azure DevOps, Apache Spark, Python
Advanced proficient in SQL and Azure Databricks knowledgeExperience with Big data technologies.Experience with Spark core and data ingestion using Azure and core Azure DE skills and coding skills (pyspark, python and SQL).

Why Join Us:
Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
*Competitive compensation & benefits, ESOPs and international assignments.Supportive environment with healthy work-life balance and a focus on employee well-being.Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.