Senior Data Engineer - ETL, Snowflake and AWS
Title : Senior Data Engineer - ETL, Snowflake and AWS
Remote
Rate - $55- $60
12+ years in ETL, Snowflake and AWS
Responsibilities
Extracting data from heterogeneous sources, including databases, CRM systems, flat files, web services, etc.
Clean, aggregate, map, and convert it to ensure it meets the business requirements and is in a suitable format for analysis.
Load the transformed data into a target database, data warehouse, or data lake, making it accessible for querying and analysis.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Qualifications we seek in you!
Minimum Qualifications
12+ years of experience in data engineering
Hands on experience in writing complex SQL queries
Proficiency in ETL Glue, DBT, Snowflake, Airflow, Python, Spark, Kafka
Experience in AWS
Excellent communication and collaboration skills to work effectively with cross-functional teams and end-users
Ability to work independently, manage multiple tasks (e.g. lead data analysis, develop programs), and prioritize work to meet deadlines
Familiarity with Agile development methodologies
Knowledge of Oracle EBS tables is helpful but not a must
Banking and finance domain experience strongly preferred
While working remotely, be visible, available, and accessible during the committed business hours
Preferred Qualifications/ Skills
Passionate about technology, problem solving, ability to adapt new skills, sharing expertise and knowledge.
Excellent client facing skills that include conducting compelling technical briefing & demonstrations. The person should have a technical curiosity to implement new technologies and articulate the solutions to the client.
Thank you,
Shobana Prabhakar
Tech recruiter, Dizercorp
Title : Senior Data Engineer - ETL, Snowflake and AWS
Remote
Rate - $55- $60
12+ years in ETL, Snowflake and AWS
Responsibilities
Extracting data from heterogeneous sources, including databases, CRM systems, flat files, web services, etc.
Clean, aggregate, map, and convert it to ensure it meets the business requirements and is in a suitable format for analysis.
Load the transformed data into a target database, data warehouse, or data lake, making it accessible for querying and analysis.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Qualifications we seek in you!
Minimum Qualifications
12+ years of experience in data engineering
Hands on experience in writing complex SQL queries
Proficiency in ETL Glue, DBT, Snowflake, Airflow, Python, Spark, Kafka
Experience in AWS
Excellent communication and collaboration skills to work effectively with cross-functional teams and end-users
Ability to work independently, manage multiple tasks (e.g. lead data analysis, develop programs), and prioritize work to meet deadlines
Familiarity with Agile development methodologies
Knowledge of Oracle EBS tables is helpful but not a must
Banking and finance domain experience strongly preferred
While working remotely, be visible, available, and accessible during the committed business hours
Preferred Qualifications/ Skills
Passionate about technology, problem solving, ability to adapt new skills, sharing expertise and knowledge.
Excellent client facing skills that include conducting compelling technical briefing & demonstrations. The person should have a technical curiosity to implement new technologies and articulate the solutions to the client.
Thank you,
Shobana Prabhakar
Tech recruiter, Dizercorp