- 15+ Years of experience in Data & Analytics with Good Communication and presentations skills.
- At least 2 years' experience in Databricks implementations, 2 large scale data warehouse end-to- end implementation experience.
- 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
- Collaboration with DW/BI leads to understanding 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
- Bachelor's and/or master's degree in computer science or equivalent experience.
- Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.
- Deep understanding of Star and Snowflake dimensional modelling.
- Strong knowledge of Data Management principles
- Good understanding 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).
- Should have experience working in Agile methodology.
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Associate Manager- Databricks - india, India - Tredence
Description
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 seeking an experienced professional who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data's full potential.
Job Location
Bangalore / Chennai / Gurgaon / Pune/ Kolkata
Roles & Responsibilities
Qualification & Experience
Why Join 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.
