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SENIOR DATA ENGINER
SENIOR DATA ENGINERTredence Inc. • bangalore, karnataka, in
SENIOR DATA ENGINER

SENIOR DATA ENGINER

Tredence Inc. • bangalore, karnataka, in
30+ days ago
Job description

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 Airflow

Skills 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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