Experience: 5 to 8 yearsn
nLocation: Bengaluru, Gurgaon, Punen
nJob code: 101017n
nPosted on: Sep 20, 2024
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About Us:
nAceNet 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.
nWe 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!
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Job Summary:
nWe are seeking a highly skilled Senior Azure Data Engineer. As a senior member, you will be responsible for leading the design, development, and implementation of complex data solutions on the Azure platform. You will play a pivotal role in designing and building scalable, reliable, and efficient data pipelines and platforms to support business intelligence.
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Key Responsibilities:
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- Lead the design and implementation of complex data architectures and solutions on the Azure platform, leveraging technologies such as Azure Data Factory, ADLS, Azure Databricks, and Unity Catalog.
- Develop and optimize data pipelines for efficient data ingestion, transformation, and loading into data warehouses and data lakes.
- Ensuring data quality, consistency, and accessibility.
- Leverage Python, PySpark/Scala to develop data processing and analysis solutions.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical specifications.
- Provide technical leadership and mentorship to junior data engineers.
- Ensure adherence to data governance and security best practices.
- Identify opportunities for data optimization and performance improvement.
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Role Requirements & Qualifications:
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- 5+ years of experience in data engineering or related field.
- Strong proficiency in Azure Data Factory, ADLS, Azure Databricks, and Unity Catalog.
- Expert-level programming skills in Python, PySpark / Scala.
- Deep understanding of data warehousing and ETL/ELT processes.
- Experience with data architecture design and implementation.
- Proven ability to lead and mentor data engineering teams.
- Strong problem-solving, analytical, and communication skills.
- Knowledge of cloud computing principles and best practices.
- Experience with other Azure data services (Azure Synapse Analytics, Azure SQL Database, etc.)
- Knowledge of machine learning and AI concepts.
- Experience with data visualization tools (Power BI, Tableau, etc.)
- Certifications in Azure Data Engineering or related fields.
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Why Join Us:
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- 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.
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How to Apply:
nIf 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.