Sr Data Engineer

We are seeking a seasoned Senior Data Engineer to join our Marketing Data Platform team. This role is pivotal in designing, building, and optimizing scalable data pipelines and infrastructure that support our marketing analytics and customer engagement strategies. The ideal candidate will have extensive experience with big data technologies, cloud platforms, and a strong understanding of marketing data dynamics. Data Pipeline Development & Optimization Design, develop, and maintain robust ETL/ELT pipelines using Apache PySpark on GCP services like Dataproc and Cloud Composer. Ensure data pipelines are scalable, efficient, and reliable to handle large volumes of marketing data. Data Warehousing & Modeling Implement and manage data warehousing solutions using BigQuery, ensuring optimal performance and cost-efficiency. Develop and maintain data models that support marketing analytics and reporting needs. Collaboration & Stakeholder Engagement Work closely with marketing analysts, data scientists, and cross-functional teams to understand data requirements and deliver solutions that drive business insights. Translate complex business requirements into technical specifications and data architecture. Data Quality & Governance Implement data quality checks and monitoring to ensure the accuracy and integrity of marketing data. Adhere to data governance policies and ensure compliance with data privacy regulations. Continuous Improvement & Innovation Stay abreast of emerging technologies and industry trends in data engineering and marketing analytics. Propose and implement improvements to existing data processes and infrastructure Years of Experience 5 Years in Data Engineer space Education Qualification & Certifications B.Tech or MCA Experience Proven experience with Apache PySpark, GCP (including Dataproc, BigQuery, Cloud Composer), and data pipeline orchestration. Technical Skills Proficiency in SQL and Python. Experience with data modeling, ETL/ELT processes, and data warehousing concepts.