Senior Data Engineer

2 days ago

Pune, Maharashtra, India Cortex Consultants Full time ₹ 8,00,000 - ₹ 12,00,000 per year
Job Title: Senior Data Engineer (Snowflake, Azure/AWS, Hadoop, Hive, Python, Databases) Experience: 5 to 8 years Location: Pune and Chennai, India Job Description: We are seeking an experienced and talented Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines, working with both cloud-based and on-premise data solutions. This role requires strong expertise in Snowflake, Azure/AWS cloud platforms, Hadoop ecosystem, Hive, Python, and relational/non-relational databases. Key Responsibilities:
  • Design, develop, and optimize scalable data pipelines using Snowflake, AWS, or Azure cloud technologies.
  • Build and maintain ETL processes for large-scale data integration from various sources.
  • Implement data solutions on cloud platforms (Azure/AWS) ensuring best practices for security, scalability, and performance.
  • Develop and optimize SQL queries, data models, and schemas within Snowflake and other database technologies.
  • Leverage Hadoop and Hive technologies for big data processing and analytics.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
  • Ensure data quality, consistency, and integrity across all pipelines and datasets.
  • Perform regular performance tuning and optimization of data processes.
  • Contribute to data governance and ensure compliance with industry standards.
  • Troubleshoot and resolve issues related to data engineering pipelines and systems.
  • Lead and mentor junior data engineers, offering guidance on best practices and technical solutions.
Required Skills & Experience:
  • 5 to 8 years of experience in Data Engineering, with a focus on cloud platforms (Azure or AWS).
  • Expertise in Snowflake data warehousing platform.
  • Strong experience working with big data technologies such as Hadoop, Hive, and other related frameworks.
  • Proficiency in programming languages like Python for building scalable data solutions.
  • Hands-on experience with SQL and NoSQL databases.
  • Familiarity with ETL tools and data pipeline orchestration tools (e.g., Apache Airflow, Talend).
  • Experience with data modeling, data integration, and data transformation techniques.
  • Strong knowledge of cloud platforms (Azure or AWS), including data storage, compute, and orchestration services.
  • Understanding of version control systems (Git) and CI/CD pipelines.
  • Strong analytical skills and attention to detail.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally with teams.
Preferred Skills:
  • Certifications in Snowflake, AWS, or Azure are a plus.
  • Knowledge of machine learning or AI integrations with data platforms.
  • Familiarity with Data Lake and Data Warehouse concepts.
Education:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

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