Senior Data Engineer I
Senior Data Engineer I
RELX5-7 Years
- Posted 19 hours ago
- Be among the first 10 applicants
Job Description
Accountabilities
- Design, build, and maintain scalable ETL/ELT pipelines to ingest third-party data (e.g., Google Analytics, Sprinklr, paid media, social, and other marketing data sources)
- Integrate web traffic, campaign, and engagement data into AWS landscape.
- Develop automated workflows for data extraction via APIs, webhooks, and batch processes.
- Monitor and optimize data pipeline performance and reliability.
- Ensure clean, structured, and standardized datasets across multiple external sources.
- Maintain data consistency, deduplication, and normalization practices.
- Implement validation checks and monitoring to ensure data accuracy and completeness.
- Document data sources, transformations, and lineage.
- Support compliance and privacy considerations (e.g., consent frameworks, tracking limitations).
- Collaborate with Stakeholders and Reporting/Data Analysts to assist and translate business requirements to technical solutions
- Develop data lake solutions leveraging new or existing technology to advance the company's business
- Design, upgrade and implement new data workflows, automation, tools and API integrations
- Write and maintain technical documentation
- Perform unit tests and system integration tests
- Work with the team using Agile methodology
- Bachelor's Degree holder (Engineering/Computer Science preferred but not required)
- Experience dealing with various stakeholders in a global perspective
- 5-7 years experience as a Data Engineer (or related positions) with focus on data processing and/or relational databases
- Experienced with relational databases like MS SQL Server, PostgresSQL, and Oracle
- Experienced in the following programming/scripting languages: SQL, Python, Shell/Powershell,
- Experienced with AWS Cloud
- Experienced with working on Structured, Semi-Structured, Unstructured datasets
- Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
- Proven stakeholder management
- Proven time and project management skills, experience in Agile Methodology is desired
- Good communication and presentation skills
- Analytical, structured, organized, and proactive
- Willing to work on a graveyard schedule
- Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
- Experience working with web analytics data models (e.g., GA4)
- Familiarity with marketing attribution and campaign tracking frameworks (UTM structures).
- Experience handling high-volume marketing data.
- Knowledge of data governance, privacy, and consent frameworks.
More Info
Key Skills
About Company
Skills:
Adf, Sql Queries, Azure Databricks, Data Warehousing Concepts, JIRA, Python, Java, Scala, SQL Server, Tuning, Sql, Devops, Azure Data Factory, Databricks, Data processing performance analysis, R, Teams, Agile scrum methodologies, Mural, ADLS gen 2, CICD pipelines, Synapse, Relational data modelling, Capacity Planning, MS Azure services
Skills:
Gcp, Apache Spark, Databricks, Tableau, Python, Sql, AWS, Airflow, Bitbucket Pipelines, dbt
Skills:
Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar
Skills:
Python, Aws Services
Skills:
snowflake , Github, Digital Analytics, Apis, Data Warehousing, Dimensional Modeling, Marketing Automation, Sql, ELT, Git, Data Governance, Python, Azure DevOps, Etl, enterprise data architecture, Security, dbt, metadata lineage, CRM