Associate Manager

2 weeks ago


Delhi, India Tredence Full time
About Tredence

Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.

Job Summary

We are looking for an analytical, big picture thinker who is driven to enhance and further the mission of Tredence 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. This Data Engineer will be empowered to 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 valueYou will play a critical role in creating and analyzing deliverables to provide critical content to enable fact-based decision making, facilitation and achievement of successful collaboration with the business stakeholders. You will analyses, design, and develop best practices business changes through technology solutions.

Job Location

Hybrid role from Bangalore, Chennai, Pune, Gurgaon, Kolkata

Roles & Responsibilities

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 is a major Advantage

Qualification & Experience

5-12 years’ experience in IT or professional services experience in IT delivery or large-scale IT analytics projectsCandidates 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 solutionsAdvanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets

Why Join Tredence?

There is a reason we are one of the fastest growing private companies in the country You will have the opportunity to work with some of the smartest and fun-loving people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world.

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