Senior Data Engineer

Ebara Elliott Energy; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Ebara Elliott Energy is seeking a seasoned Data Engineer to build complex data pipelines moving data from diverse sources into the Enterprise Data Lakehouse. You will architect, troubleshoot, and design sophisticated workflows and data transformations to support analytics and reporting across the organization.

Ideal candidates bring 10+ years of ETL experience, 3+ years with Databricks, strong SQL/DB skills (Oracle, SQL Server), and cloud experience (AWS/Azure).

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science or Analytics.
• 10+ years hands-on experience as an ETL engineer.
• 3+ years experience on Databricks.
• Well versed with Oracle, SQL Server and other DBs.
• Cloud experience with AWS, SQL, data modeling, Informatica, Fivetran or Azure Data Factory.
• Deep understanding of extracting data from ODBC sources and APIs.
• Basic Python skills.
• Collaborate with Data Analysts, Visualization Engineers and Data Scientists.
• Strong consultative and analytical skills; influence internal customers.
• Proactive, initiative-taking with complex issues resolution.

Responsibilities

• Review source to target mapping documents.
• Design and document ETL pipelines using industry standard ETL tools.
• Streamline and build robust data pipelines with clear lineage.
• Monitor flow of data across databases, cloud and on premise.
• Implement best practices and standardize data integration across sources.
• Profile and detect data anomalies and improve data quality.
• Build Master Data Management processes and cleansing algorithms.
• Establish robust data flows with logging and troubleshooting methods.
• Work in a fast pace and changing environment.
• Provide consultative advice on technical issues.
• Collaborate with Operations, Sales, Marketing, Finance, IT and Data teams globally.

Skills

ETL

Data pipelines

Python

Data modeling

Cloud computing

Stakeholder communication

Education

Bachelor's in Computer Science, Information Systems, Data Science, Analytics

Tools

Databricks

Informatica

Fivetran

Azure Data Factory

Oracle

SQL Server

AWS

Job description

Overview & Responsibilities

The Data Engineer will build robust and complicated data pipelines required for moving data from various source systems into the Enterprise Data Lakehouse. The Data Engineer will be responsible for architecting, troubleshooting and designing complex workflows and transformations.

BACKGROUND and EXPERIENCE

• Bachelor's in Computer Science, Information Systems, Data Science, Analytics.
• Minimum 10 years hands on experience as an ETL engineer.
• 3+ years experience on Databricks is required.
• Well versed with using various database systems like Oracle, SQL Server etc.
• Experience in the cloud preferably AWS, SQL, Data modeling, Informatica, Fivetran or Azure Data Factory.
• Deep understanding of extracting data from ODBC sources along with usage of APIs.
• Basic Python skills necessary.
• Should be able to work with various applications and business units, along with the Data analysts, visualization engineer and data scientist.
• Requires sophisticated skills to understand, influence, drive, and negotiate with internal customers.
• Uses initiative and extensive knowledge to resolve complex issues, developing new or novel solutions.

SPECIFIC JOB RESPONSIBILITIES/COMPETENCIES

• Review source to target mapping documents.
• Design and document ETL pipelines using industry standard ETL tools.
• Streamline and build robust data pipelines, with clear visibility into lineage of the data.
• Responsible for monitoring the flow of the data across various databases, cloud and on premise.
• Implement best practices and standardize data integration across all the sources.
• Profile and detect data anomalies and provide solutions for improving the quality of the data.
• Build and implement Master Data Management processes, while defining algorithms and building code for cleansing the data.
• Establish highly robust and efficient data flows with logging and efficient troubleshooting methods.
• Be able to work in a fast pace and changing environment.
• Consulted by others for their ability to identify, understand and analyze complex business concepts.
• Is forward thinking in approach and considers the effect of current action on future company outcomes.
• Requires the ability to work independently and to provide consultative advice on specific technical issues.
• Develops new and sometimes novel resolution of complex issues and works on all application and data integration issues.
• This position requires regular interaction with internal business users from all departments including Operations, Sales, Marketing, and Finance across all of the global locations of the organization. It will also work closely with the Visualization engineer, data analysts, IT and Data scientist to enable new data sources to the pipeline.

Equal Employment Opportunity

Ebara Elliott Energy is an equal employment opportunity/affirmative action employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by the federal, state or local laws of the United States. Applicants and employees are protected under U.S. federal law from discrimination.