Python Senior Technical Specialist - Data Analysis, SQL
Ireland
Job Description
Python Senior Technical Specialist - Data Analysis, SQL
Dublin, Leinster

Job Summary

JD is below:

  • Proven experience as architect and lead in Data & Analytics stream focusing on Cloud Platforms (Azure/GCP/AWS)
  • Has good experience on setting up Cloud Platform Data & Analytics services
  • Creative problem-solver with strong communication skills
  • Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
  • Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
    • Data integration – Using Cloud Services (Azure/GCP/AWS)
    • Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE
    • Data processing frameworks – Spark & Spark streaming
    • Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB)
    • Experience in cloud data eco-system - AWS, Azure or GCP
  • 15+ years of experience in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory

Key Responsibilities

JD is below:

  • Proven experience as architect and lead in Data & Analytics stream focusing on Cloud Platforms (Azure/GCP/AWS)
  • Has good experience on setting up Cloud Platform Data & Analytics services
  • Creative problem-solver with strong communication skills
  • Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
  • Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
    • Data integration – Using Cloud Services (Azure/GCP/AWS)
    • Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE
    • Data processing frameworks – Spark & Spark streaming
    • Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB)
    • Experience in cloud data eco-system - AWS, Azure or GCP
  • 15+ years of experience in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory

Skill Requirements

JD is below:

  • Proven experience as architect and lead in Data & Analytics stream focusing on Cloud Platforms (Azure/GCP/AWS)
  • Has good experience on setting up Cloud Platform Data & Analytics services
  • Creative problem-solver with strong communication skills
  • Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
  • Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
    • Data integration – Using Cloud Services (Azure/GCP/AWS)
    • Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE
    • Data processing frameworks – Spark & Spark streaming
    • Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB)
    • Experience in cloud data eco-system - AWS, Azure or GCP
  • 15+ years of experience in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory

Other Requirements

Additional requirement is 50% onsite presence at Client office(CBOI Dublin) is mandatory

Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.