Senior Data Engineer

2 days ago

Noida, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,04,000 - ₹ 1,30,878

Looking for a challenging role in data engineering? This position is perfect for you

About the Job

We are seeking an experienced Data Engineer to join our team and contribute to building scalable, reliable, and secure data pipelines using PySpark and Azure cloud platform.

The ideal candidate will have strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices. Familiarity with data warehousing concepts, dimensional modeling, and relational databases is also required.

The successful candidate will design, develop, and optimize data pipelines and ETL processes to extract, transform, and load large volumes of structured and unstructured data from diverse sources. They will also implement data ingestion, processing, and storage solutions on Azure cloud platform, leveraging services such as Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.

Beyond technical skills, we are looking for a team player who can work collaboratively with cross-functional teams to drive business outcomes. The selected candidate will have excellent communication and problem-solving skills, with the ability to adapt to changing priorities and deadlines.

Requirements
  • Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark.
  • Hands-on experience with cloud platforms, particularly Azure, and proficiency in Azure services such as Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database.
  • Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices.
  • Familiarity with data warehousing concepts, dimensional modeling, and relational databases (e.g., SQL Server, PostgreSQL, MySQL).
Preferred Skills
  • Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase)
Education and Qualifications

Degree in Computer Science, Information Technology or related field

8-12 years of experience in data engineering

MBA degree preferred

Certification in data engineering or related field preferred

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