Job Description

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 2000-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients

Job Location

Bangalore, Chennai Gurgaon, Pune

Roles & Responsibilities

• Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack
• Ability to provide solutions that are forward-thinking in data engineering and analytics space
• Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
• Triage issues to find gaps in existing pipelines and fix the issues
• Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
• Help joiner team members to resolve issues and technical challenges.
• Drive technical discussion with client architect and team members
• Orchestrate the data pipelines in scheduler via Airflow

Qualification & Experience

• BE/BTech/MTech
• 8+ years of work experience with ETL, Data Engineering, Data Modelling, and Data Architecture
• Expert-level skills in writing and optimizing SQL
• Fluency in the AWS/GCP/Azure or any cloud tech stack for data engineering
• End-to-end implementation of AWS/GCP/Azure or any cloud tech pipelines for Analytics centric projects
• Translate business requirements to technical specs and execute
• Good communication skills and soft skills for team/stakeholder management

Job Summary

• Must have total 8+ yrs. of IT experience and 2+ years\' experience in Data warehouse/ETL projects.
• Strong experience of Data Management of Databricks Data & AI platform and Databricks Delta Lake Architecture
• Should have hands-on experience in SQL, Python and Spark (PySpark)
• Candidate must have experience in AWS/ Azure stack
• Desirable to have ETL with batch and streaming (Kinesis).
• Experience in building ETL / data warehouse transformation processes
• Experience with Apache Kafka for use with streaming data / event-based data
• Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
• Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
• Experience working with structured and unstructured data including imaging & geospatial data.
• Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
• Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects

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 reputed clients, some of the largest and most innovative global business brands. Our people are our greatest asset and we value every one of them. We are an equal opportunity employer who adhere to our core values & reflect this in our day to day life. So, please come & see why we\'re so successful in one of the most competitive and fastest growing industries in the world.

Tredence