Python Senior Technical Specialist - Data Analysis, SQL
HCLTech
Dublin, Leinster, IrelandPosted 21 days agoDiscoveredMatch locked
Full-time
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
Not included in the source posting: about the role, benefits.
Skills
awsazuregcpsparksqlcassandrahadoopmongodbnosqlpostgresqlsnowflakepython
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