Aryng

Aryng is a global data science consulting firm based in Silicon Valley that specializes in providing AI and ML solutions to enterprises and startups. With a proprietary framework called BADIR, Aryng helps clients tackle complex business challenges and improve data literacy, resulting in over $200 million in delivered impact. Founded by data analytics thought leader Piyanka Jain, Aryng has served Fortune 500 companies and emerging businesses, focusing on driving growth and informed decision-making.

Jobs at this company:

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🔥 Senior Data Engineer
Posted 2024-10-25

📍 India

🧭 Full-Time

🔍 Data Engineering

  • 8+ years of data engineering experience.
  • 4+ years of experience with cloud solutions: GCP, AWS, Azure, or on-premise distributed servers.
  • Proficiency in Python (4+ years) and strong SQL skills.
  • Experience with Big Query, Snowflake, Redshift, DBT.
  • Understanding of data warehousing, data lakes, and cloud concepts.
  • Excellent communication and problem-solving skills.
  • Bachelor's degree in relevant fields.

  • Implement asynchronous data ingestion and high volume stream data processing.
  • Develop real-time data analytics using various Data Engineering techniques.
  • Define and optimize data pipelines, identifying bottlenecks.
  • Utilize GCP, AWS, and Azure cloud technologies for cutting-edge solutions.

AWSProject ManagementPythonSQLAgileGCPHadoopKafkaSnowflakeAirflowAzureData engineeringSparkProblem Solving

Posted 2024-10-25
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Apply
🔥 Senior Data Engineer
Posted 2024-10-25

📍 India

🔍 Data Engineering

  • 8+ years of data engineering experience.
  • 4+ years using cloud solutions such as GCP, AWS, or Azure.
  • 4+ years experience in Python.
  • Strong knowledge of SQL and data concepts.
  • Experience with Big Query, Snowflake, Redshift, and DBT.
  • Understanding of data warehousing, data lakes, and cloud concepts.
  • Excellent communication and presentation skills.
  • Strong problem-solving skills with a proactive approach.
  • A B.S. in computer science, software engineering, computer engineering, electrical engineering, or a related field is required.

  • Implement asynchronous data ingestion and high-volume stream data processing.
  • Perform real-time data analytics using various Data Engineering techniques.
  • Implement application components using Cloud technologies and infrastructure.
  • Assist in defining data pipelines and identify bottlenecks for data management.
  • Apply cutting-edge cloud platform solutions using GCP, AWS, and Azure.

AWSProject ManagementPythonSQLAgileGCPSnowflakeAzureData engineering

Posted 2024-10-25
Apply
Apply
🔥 Senior Data Engineer
Posted 2024-10-25

📍 India

🧭 Full-Time

🔍 Data engineering

  • 8+ years of data engineering experience.
  • 4+ years managing data engineering solutions using Cloud (GCP/AWS/Azure) or on-premise.
  • 4+ years' experience in Python.
  • Strong in SQL and its concepts.
  • Experience with Big Query, Snowflake, Redshift, DBT.
  • Understanding of data warehousing, data lake, and cloud concepts.
  • Excellent communication and presentation skills.
  • Excellent problem-solving skills.
  • B.S. in computer science or related field.

  • Implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques.
  • Assist in defining the data pipelines and identify bottlenecks to enable effective data management.
  • Implement application components using Cloud technologies and infrastructure.
  • Implement cutting edge cloud platform solutions using tools and platforms offered by GCP, AWS, and Azure.

AWSProject ManagementPythonSQLAgileGCPSnowflakeAzureData engineering

Posted 2024-10-25
Apply