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Python Senior Technical Specialist - Data Analysis, SQL

HCLTech -
Dublin, County Dublin

Apply Now

Job details

4 hours ago

Qualifications

Azure
Oracle
Business intelligence
Data lake
Cassandra
Spark
Microsoft SQL Server
NoSQL
Google Cloud Platform
Apache Hive
MongoDB
SQL
AWS
HBase
PostgreSQL
Communication skills
Python
Hadoop

Full job description

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

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