Senior Data Engineering Manager - Google Cloud Platform

Job Title : Senior Data Engineering Manager - GCP Experience Required : 14-16 years (Level 5 - Senior Manager) Locations : Bangalore, Chennai, Kolkata, Gurugram, Pune Mandatory Skills : GCP, GCS, BigQuery, SQL, Data Flow, DataProc with PySpark, Pub/Sub, Airflow, Python, Spark Job Description : We are looking for an analytical, big-picture thinker who is driven to enhance and further the client's mission by delivering technology to internal business and functional stakeholders. You will serve as a leader to drive the IT strategy to create value across the organization. As a Data Engineer, you will lead the engagement to focus on implementing both low-level, innovative solutions, as well as the day-to-day tactics that drive efficiency, effectiveness, and value. You will play a critical role in creating and analyzing deliverables to provide critical content for fact-based decision-making, facilitation, and achievement of successful collaboration with business stakeholders. You will analyze, design, and develop best practices for business changes through technology solutions. Experience 14-16 years in IT or professional services in IT delivery or large-scale IT analytics Requirements : - Have implemented and architected solutions on Google Cloud Platform using GCP components. - Experience with Apache Beam/Google Dataflow/Apache Spark in creating end-to-end data pipelines. - Experience in some of the following: Python, Hadoop, Spark, SQL, BigQuery, BigTable, Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning. - Experience programming in Java, Python, etc. - Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases. - Certified Google Professional Data Engineer or Solution Architect is a major advantage. Roles & Responsibilities : - Expert knowledge of Google Cloud Platform; experience with other cloud platforms is a plus. - Expert in SQL development. - Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc.). - Experience with Apache Beam/Google Dataflow/Apache Spark in creating end-to-end data pipelines. - Experience in Python, Hadoop, Spark, SQL, BigQuery, BigTable, Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning. - Ability to identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.). - Implement data pipelines to automate data source ingestion, transformation, and augmentation, and provide best practices for pipeline operations. - Capable of working in a rapidly changing business environment and enabling simplified user access to massive data by building scalable data solutions. - Advanced SQL writing and experience in data mining (SQL, ETL, data warehousing, etc.) and using databases in a business environment with complex datasets. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/9/2024