Data Engineering Lead

4 weeks ago


Kolkata, West Bengal, India Sirius Digitech Full time

Experience:

  • 10-15 years of experience in data engineering and AI Labs industry
  • Demonstrated experience in leading and managing data engineering teams
  • Proven track record of delivering complex data engineering projects

Roles and Responsibilities:

  • Lead the design, development, and implementation of scalable and efficient data engineering solutions
  • Manage and mentor a team of data engineers, providing technical guidance and leadership
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  • Drive innovation by evaluating and implementing new technologies and tools for data processing and analysis
  • Ensure the reliability, security, and performance of data engineering systems and processes
  • Develop and maintain documentation for data engineering processes, standards, and best practices
  • Stay updated with the latest industry trends and best practices in data engineering and AI Labs
  • Contribute to the overall data strategy and roadmap for the organization
  • Education Qualification:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Certification required:

  • Professional certifications in data engineering or related fields are an advantage
  • Cloud Data Engineering certification from Azure or GCP.

Behavioural Skills:

  • Strong leadership and team management skills
  • Excellent communication and collaboration abilities
  • Problem-solving mindset with a focus on innovation
  • Adaptability and ability to work in a fast-paced and dynamic environment
  • Strong decision-making and strategic thinking capabilities

Technical Skills:

  • Strong data engineering skills: Proficient in data modeling, ETL processes, and developing batch/real-time data pipelines.
  • Programming expertise: Skilled in Python, Scala, and SQL.
  • Big data experience: Hands-on experience with Hadoop, Spark, Kafka, Databricks, and Iceberg.
  • Data governance and quality: Knowledgeable in data quality, governance, and security principles.
  • Cloud platforms: Deep understanding of data engineering on AWS, Azure, or GCP.
  • Database management: Experience with data warehousing solutions, SQL and NoSQL databases.
  • ERP/System integration: Experienced with data connections from ERP systems like SAP, Oracle, SCADA, and OSI.
  • Data analytics and ML: Understanding of machine learning concepts and data analysis techniques.

Non-Negotiable Skills:

  • Expertise in data modeling, ETL processes, and data pipeline development
  • Strong leadership and team management skills
  • Excellent communication and collaboration abilities

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