Data Engineer @ TEKGENCE INC | Jobright.ai
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TEKGENCE INC ยท 1 day ago

Data Engineer

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Responsibilities

1-3 years of experience in data processing activities, in any of these technologies: Public Clouds, Lake House, Data Lakes, Data Warehouses, and Data Marts or other data processing tools
A minimum of 1-2 years (preferably 3+ years) of experience with ETL/ELT and cloud-based data processing tools
Proficiency in one or more enterprise databases or data processing engines, such as (any) Redshift, Snowflake, Oracle, MS SQL, Hive, Hadoop, Spark, etc.
Experience 2 years with pySpark and Python for Data Processing using Spark-based Data Platform (Cloudera, Databricks, EMR, Synapse)
Experience participating in sprint and sprint planning meetings
Attention to detail coupled with the ability to quickly learn, assess, and evaluate new processes and procedures.
Excellent English verbal and written communication skills
Familiarity with at least one public cloud provider (AWS, Azure, or GCP) and their respective data & analytics products and platforms
Proficiency in shell script programming within Linux/UNIX environments
Expertise in DevOps tools, including GitHub/GitLab, Jira, and Confluence
Experience in Migration projects, Data testing and Code unit testing
AWS, Azure, or GCP certifications

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ProcessingETL/ELTPublic CloudsRedshiftSnowflakeOracleMS SQLHiveHadoopSparkPySparkPythonAWSAzureGCPDevOps ToolsClouderaDatabricksEMRSynapseSprint PlanningShell ScriptGitHubGitLabJiraConfluenceMigration ProjectsData TestingCode Unit Testing

Required

Bachelor's degree (or equivalent) in Computer Science, Engineering, Mathematics, Statistics, Analytics, or a related field
1-3 years of experience in data processing activities, in any of these technologies: Public Clouds, Lake House, Data Lakes, Data Warehouses, and Data Marts or other data processing tools
A minimum of 1-2 years (preferably 3+ years) of experience with ETL/ELT and cloud-based data processing tools
Proficiency in one or more enterprise databases or data processing engines, such as (any) Redshift, Snowflake, Oracle, MS SQL, Hive, Hadoop, Spark, etc.
Experience 2 years with pySpark and Python for Data Processing using Spark-based Data Platform (Cloudera, Databricks, EMR, Synapse)
Experience participating in sprint and sprint planning meetings
Attention to detail coupled with the ability to quickly learn, assess, and evaluate new processes and procedures.
Excellent English verbal and written communication skills

Preferred

Familiarity with at least one public cloud provider (AWS, Azure, or GCP) and their respective data & analytics products and platforms
Proficiency in shell script programming within Linux/UNIX environments
Expertise in DevOps tools, including GitHub/GitLab, Jira, and Confluence
Experience in Migration projects, Data testing and Code unit testing
AWS, Azure, or GCP certifications

Company

TEKGENCE INC

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We accelerate business transformation by solving complex technology, business and talent challenges.

Funding

Current Stage
Late Stage
Company data provided by crunchbase
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Orion

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