SENIOR DATA ENGINER

2 weeks ago

New Delhi, India Tredence Inc. Full time

Primary Roles and Responsibilities:- Developing Modern Data Warehouse solutions using Databricks and 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 AirflowSkills and Qualifications:- Bachelor's and/or master’s degree in computer science or equivalent experience - Must have total 6+ yrs. of IT experience and 4+ 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 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 - Should have experience working in Agile methodology - Strong verbal and written communication skills

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