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Job Description : Job Title : Senior GCP Data Engineer Skills required : GCP, GCS, Dataproc, Airflow, Python/ Java/ Spark Notice period : Only Immediate to 15 days joiners Job Requirement : - Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP - 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, Big Query, Big Table 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 in Google Professional Data Engineer/ Solution Architect is a major Advantage. Skills Required : - Experience in IT or professional services experience in IT delivery or large-scale IT analytics projects - Candidates must have expertise knowledge of Google Cloud Platform; the other cloud platforms are nice to have. - Expert knowledge 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 some of the following : Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning. - Experience programming in Java, Python, etc. - Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.) - Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations. - Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutions - Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets About Tredence : Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 2,200+ employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and India (Bangalore, Pune, Chennai, Gurugram & Kolkata), with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 11 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base. Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in Kolkata. In 2023, we also plan to hire more than 1000 employees across markets. - Tredence is a Great Place to Work- (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance. At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible.

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Tredence Analytics Solutions - Senior Data Engineer - Google Cloud Platform (6-12 yrs)

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