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

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