Data Engineering Leadership Position

3 days ago

Delhi, Delhi, India Enterprise Minds, Inc Full time
Enterprise Minds, Inc Data Engineer Lead Job Opportunity

We are seeking a highly skilled and experienced Data Engineer Lead to oversee the design, development, and implementation of data solutions across multiple cloud environments.

Key Responsibilities:

  • Leadership & Strategy:
    • Lead a team of data engineers to deliver high-quality data solutions across multiple cloud environments.
    • Define best practices and standards for multi-cloud data engineering.
    • Collaborate with cross-functional teams to define comprehensive data strategies.
  • Solution Design & Development:
    • Architect and implement data pipelines using Azure Data Factory, AWS Glue, and Google Dataflow.
    • Design and manage data lake architectures on Azure Data Lake Storage (ADLS), Amazon S3, and Google Cloud Storage.
    • Implement data modeling, data integration, and ETL/ELT pipelines using tools like Azure Synapse, Redshift, and Big Query.
  • Operational Excellence:
    • Optimize workflows to ensure performance, scalability, and cost-efficiency across cloud platforms.
    • Implement CI/CD pipelines for data engineering workflows using Azure DevOps, AWS Code Pipeline, and Google Cloud Build.
    • Monitor and troubleshoot pipelines to address performance issues and ensure resilience.
  • Governance & Security:
    • Ensure compliance with data governance, security policies, and regulations across cloud providers.
    • Use tools like Azure Purview, AWS Glue Data Catalog, and Google Data Catalog for metadata management.
    • Implement best practices for securing data using role-based access control (RBAC), encryption, and managed identities.
  • Communication:
    • Stakeholder Collaboration: Translate business needs into technical solutions and present updates clearly to non-technical audiences.
    • Team Leadership: Mentor team members, foster collaboration, and provide constructive feedback.
    • Cross-Functional Coordination: Work with product managers, data scientists, and engineers to align data strategies.
    • Documentation: Maintain clear documentation for workflows and project decisions.
    • Conflict Resolution: Resolve team and stakeholder conflicts effectively with strong interpersonal skills.
    • Communication Tools: Use collaboration platforms to streamline communication.
    • Thought Leadership: Advocate for data engineering initiatives and share insights on industry trends.
    • Adaptability: Tailor communication style to suit technical and non-technical audiences.

Required Skills and Qualifications:

  • Multi-Cloud Expertise (Optional – At least one cloud with proven skill):
    • Proficiency in Azure (Data Factory, Databricks, Synapse Analytics), AWS (Glue, Redshift, S3), and Google Cloud (Dataflow, Big Query, Cloud Storage).
    • Knowledge of streaming services like Azure Event Hubs, AWS Kinesis, and Google Pub/Sub.
  • Programming and Scripting Languages:
    • Strong programming skills in Python, SQL, and optionally Scala for big data processing.
  • Big Data Frameworks and Tools:
    • Expertise in Apache Spark, Scala, Java and other multi-cloud implementations.
    • Skilled in distributed computing frameworks for large-scale data processing.
  • Data Modeling and ETL/ELT Design:
    • Expertise in designing efficient data models for data lakes and warehouses.
    • Hands-on experience creating scalable ETL/ELT pipelines.
  • CI/CD and DevOps:
    • Hands-on experience with multi-cloud CI/CD tools (Azure DevOps, AWS CodePipeline, Google Cloud Build).
    • Knowledge of Infrastructure as Code (IaC) tools like Terraform, Biceps.
  • Data Governance and Security:
    • Experience with Azure Purview, AWS Glue Data Catalog, and Google Data Catalog.
    • Knowledge of encryption and key management solutions like Azure Key Vault, AWS KMS, and Google Cloud KMS.
  • Additional Knowledge:
    • Familiarity with visualization tools like Power BI, Tableau, or Looker.
    • Understanding of real-time data streaming with Kafka or equivalent.

Location: Remote

Salary: $150,000 - $180,000 per year

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