Data Engineer
Data Engineer in Pune who designs, builds, and maintains scalable data pipelines supporting analytics and BI, developing and optimizing data models while ensuring data quality. Core stack is SQL, PySpark for big data processing, and Azure Data Lake Storage Gen2.
- Compensation
- Not disclosed
- Location
- Pune, Maharashtra
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong background in data engineering principles
- Proficiency in SQL for data manipulation and querying
- Experience with PySpark for big data processing
- Familiarity with Azure Data Lake Storage Gen2 (ADLS Gen2)
- Strong problem-solving skills
- Ability to work in a fast-paced environment
Full description
We are seeking a skilled Data Engineer to join our team in Maharashtra. The ideal candidate will have a strong background in data engineering and be proficient in SQL and PySpark. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data analytics and business intelligence initiatives. You will work closely with data scientists and analysts to ensure that data is accessible and usable for various analytical purposes. Key responsibilities include developing and optimizing data models, ensuring data quality and integrity, and collaborating with cross-functional teams to understand data requirements. The successful candidate will possess strong problem-solving skills and the ability to work in a fast-paced environment. Required skills for this role include expertise in data engineering principles, proficiency in SQL for data manipulation and querying, experience with PySpark for big data processing, and familiarity with Azure Data Lake Storage Gen2 (ADLS Gen2) for data storage solutions. If you are passionate about data and have a desire to drive data-driven decision-making within an organization, we encourage you to apply.