Data Engineer

Position Summary: Data Engineers are responsible for developing and operationalizing data pipelines/integrations to make data available for consumption (i.e. Reporting, Data Science/Machine Learning, Data APIs, etc.). This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration; and deploying code to production via CI/CD.

The Data Engineer role requires knowledge of software development/programming methodologies, various data sources (Relational Databases, flat files (csv, delimited), APIs, XML, JSON, etc.), data access (SQL, Python, etc.), followed by expertise in data modeling, cloud architectures/platforms, data warehousing, and data lakes. This role also will partner closely with Product Owners, Data Architects, Platform/DevOps Engineers, etc. to design, build, test, implement and maintain data pipelines. Roles and Responsibilities: Own the design, development, and maintenance of ongoing data pipelines. to drive key business decisions across Martech / AdTech solutions for web, mobile, and backend systems Collaborate with product, data, and engineering teams to deliver scalable and reliable data-based solutions for performant ads & marketing experiences Contribute to the Data architecture and reporting roadmap of the Martech/AdTech stack Recognize and adopt best data engineering practices in data integrity, test design, analysis, validation, and documentation.

Ensure security, compliance, and data quality across integrations and data flows Identify root causes of data issues and develop solutions; Troubleshoot and resolve issues related to latency, data quality and accuracy This position will be filled onsite in Hyderabad, India. Job Duties/Essential Functions: Develops complex SQL & Python against a variety of data sources Implements streaming data pipelines using event/message-based architectures Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form Works in tandem with Data Architects to align on data architecture requirements provided by the requestor. Defines and maintains optimal data pipeline architecture Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery/orchestration Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.) Analyzes data to spot anomalies, trends and correlate data to ensure Data Quality Develops data pipelines to store data in defined data models / structures Demonstrates strong understanding of data integration techniques and tools (e.g.

Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT)) tools Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing) Identifies ways to improve data reliability, efficiency and quality of data management Performs peer review for another Data Engineers work Required Skills: 2+ years of experience in Data Engineering Hands-on experience with AdTech or Martech platforms (DSP, DMP, CDP, CRM, tracking tools, etc.). Proficiency in programming (e.g., Python, Java, or similar). Experience with data integration, APIs, and cloud infrastructure (GCP/AWS/Azure).

Strong collaboration, problem-solving, and communication skills.