Sr. Data Lake Engineer (Azure Data Lake)

Job Title: Sr. Data Lake Engineer (Azure Data Lake)

Experience: 6+ years

Location: Noida/Pune/Hyderabad

Job Summary:

Senior Data Lake Engineer (Azure Data Lake) :

We are seeking a highly skilled and experienced Data Engineer with expertise in Azure SQL to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure and systems. You will work closely with our data scientists, analysts, and other stakeholders to ensure the availability, reliability, and performance of our data solutions.

Responsibilities:

• Design, develop, and maintain data pipelines and ETL processes using Azure SQL technologies.
• Collaborate with business analysts to understand their data requirements and translate them into technical solutions.
• Optimize and tune data pipelines and ETL processes for performance and scalability.
• Implement data quality and data governance processes to ensure data accuracy and integrity.
• Monitor and troubleshoot data infrastructure and systems to identify and resolve any issues or bottlenecks.
• Collaborate with cross-functional teams to integrate data from various sources and systems.
• Stay up-to-date with the latest trends and technologies in data engineering and Azure SQL.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer, preferably with expertise in Azure SQL.
• Strong knowledge of SQL and database design principles.
• Experience with data modeling, data warehousing, and ETL processes.
• Proficiency in programming languages such as Python or Java.
• Familiarity with cloud platforms, particularly Azure.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and in a team environment.
• Attention to detail and ability to prioritize tasks effectively.

Preferred Qualifications:

Microsoft Azure certifications related to data engineering.

• Experience with other Azure data services such as Azure Data Factory, Azure Databricks, or Azure Synapse Analytics.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.