Role: Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Experience: 6-15 years Location: Bangalore, Chennai, Delhi, Pune, Kolkata About Tredence: Tredence focuses on last-mile delivery of powerful insights into protable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions on a scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and Southeast Asia. We are seeking an experienced data scientist 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 datas full potential. Primary Roles and Responsibilities: 1.Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack 2. Ability to provide solutions that are forward-thinking in data engineering and analytics space 3. Collaborate with DW/BI leads to understand new ETL pipeline development requirements. 4. Triage issues to nd gaps in existing pipelines and x the issues 5.Work with businesses to understand the need in reporting layer and develop data model to fulll reporting needs 6. Help joiner team members to resolve issues and technical challenges. 7. Drive technical discussion with client architect and team members 8. Orchestrate the data pipelines in scheduler via Airow Skills and Qualifications: 1. Bachelor's and/or masters degree in computer science or equivalent experience. 2. Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. 3. Deep understanding of Star and Snowake dimensional modelling. 4.Strong knowledge of Data Management principles 5.Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture 6. Should have hands-on experience in SQL, Python and Spark (PySpark) 7. Candidate must have experience in AWS/ Azure stack 8. Desirable to have ETL with batch and streaming (Kinesis). 9. Experience in building ETL / data warehouse transformation processes 10. Experience with Apache Kafka for use with streaming data / event-based data 11. Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) 12. Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) 13. Experience working with structured and unstructured data including imaging & geospatial data. 14. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. 15. Profciency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot 16. Databricks Certied Data Engineer Associate/Professional Certication (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology. Strong verbal and written communication skills. Strong analytical and problem-solving skills with high attention to detail. Mandatory Skills: Python/ PySpark / Spark with Azure Databricks Tredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees. Visit our website for more details: https://www.tredence.com/ Role: Data Engineer,Industry Type: IT Services & Consulting,Department: Engineering - Software & QA,Employment Type: Full Time, PermanentRole Category: Software DevelopmentEducationUG: B.Tech / B.E. in Any Specialization