Data Engineer – Media Analytics
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
About the Role
We are looking for a Data Engineer to design build and optimize scalable data pipelines and infrastructure that power media and marketing analytics. This role is primarily engineering- focused but requires collaboration with analytics teams to enable insights through well-structured
data models and visualization-ready datasets. Experience with Python SQL and cloud platforms is essential while familiarity with Power BI/Tableau and basic data analysis is a plus.
Key Responsibilities
- Design develop and maintain ETL/ELT pipelines using orchestration tools (Apache Airflow Cloud Composer or similar).
- Build scalable cloud-native data architectures on GCP and/or Azure including compute storage networking and IAM.
- Develop and manage API connectors for ingesting data from marketing platforms (Google Ads Meta Ads DV360 CM360 LinkedIn Ads) and internal systems.
- Implement CI/CD pipelines for automated deployment testing and monitoring of data workflows.
- Build and optimize data models for analytics and reporting ensuring performance and reliability.
- Collaborate with data analysts and business teams to translate requirements into engineering solutions and prepare datasets for BI tools (Power BI Tableau).
- Perform basic data validation and analysis to ensure data accuracy and usability for dashboards.
- Implement data quality checks monitoring and alerting for pipeline health and integrity.
- Ensure data governance security and compliance across all engineering outputs.
- Maintain code quality through GitHub workflows version control and documentation.
Required Skills
- 36 years of experience as a Data Engineer or similar role.
- Strong expertise in cloud platforms (GCP and/or Azure) including compute storage networking IAM and serverless services.
- Proficiency in Python for ETL API integrations and automation.
- Strong SQL skills and experience with analytical warehouses (BigQuery Snowflake Redshift Synapse).
- Familiarity with data visualization tools (Power BI Tableau) and ability to prepare datasets for reporting.
- Hands-on experience with orchestration tools (Airflow Cloud Composer Prefect ADF).
- Knowledge of ETL/ELT best practices data modelling and pipeline optimization.
- Experience with GitHub version control and CI/CD pipelines.
- Good understanding of networking fundamentals (VPCs subnets firewalls private endpoints).
- Basic to intermediate cloud security knowledge (IAM policies encryption secrets management).
- Experience building and deploying API connectors (REST GraphQL OAuth).
- Familiarity with dbt for transformation and modelling.
Good to Have
- Experience with APIs such as Google Ads Meta Ads DV360 CM360 LinkedInAds.
- Understanding of marketing KPIs attribution models and campaign performance metrics.
- Exposure to real-time streaming (Kafka Pub/Sub Event Hub).
- Familiarity with containerization (Docker Kubernetes) and IaC (Terraform).
- Experience with data quality frameworks (Great Expectations Monte Carlo Soda).
- Additional cloud security exposure (network security groups logging/monitoring vulnerability scanning).
- Exposure to ML engineering workflows (feature engineering model deployment) and tools like Vertex AI Azure ML or SageMaker. Personal Attributes
- Strong problem-solving skills and attention to detail.
- Collaborative mindset with ability to work in cross-functional teams.
- Ability to translate complex requirements into scalable engineering solutions.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Best IT Services and Digital Marketing Outsourcing Company- Wildnet Technologies is an award-winning IT Services and Digital Marketing Outsourcing Company delivering transformational growth to its clients.
