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Data Engineer @ anblicks

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 Data Engineer

Job Description

Position: Senior Data Engineer - Snowflake

Location: Hyderabad or Ahmedabad

Experience: 4+ years

Key Responsibilities:

  • Design, develop, and manage robust data pipelines using Snowflake, Python, and PySpark.
  • Implement and optimize Snowflake features, including SnowSQL, Snowpipe, and Snowpark, to enhance performance and efficiency.
  • Build ELT/ETL processes to support data ingestion and transformation for analytics.
  • Automate data workflows, ensuring scalability and reliability for large datasets.
  • Collaborate with cross-functional teams to deliver high-quality, data-driven solutions.
  • Monitor and troubleshoot Snowflake workloads, ensuring cost-effectiveness and optimal performance.
  • Document data architectures, processes, and best practices for future scalability.
  • Stay updated with the latest industry trends in Snowflake and data engineering technologies.

Required Skills Experience:

  • 4+ years of experience in Data Engineering.
  • 2+ years of hands-on expertise with Apache Spark, Python, PySpark, and SQL.
  • 2+ years working with Snowflake, including:
  • SnowSQL
  • Snowpipe
  • Snowpipe Streaming
  • Snowpark
  • Proficiency in data warehouse architecture, data modeling, and ELT/ETL processes.
  • Experience with cloud platforms such as Azure, AWS, or Databricks.
  • Knowledge of Machine Learning and Generative AI platforms.
  • Strong analytical, communication, and problem-solving skills.


Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: anblicks
Location(s): Ahmedabad

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Keyskills:   Scalability Data modeling spark Analytical Machine learning Cloud Data warehousing Analytics SQL Python

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anblicks

Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratiza...