Senior Data Engineer

2 weeks ago


bangalore, India Tredence Inc. Full time

Experience Level: 6+YearsLoc: Bangalore/Chennai/Pune/Kolkata/GurugramMandatory Skills: Azure Databricks, Pyspark, SQLRole & responsibilitiesBachelor's and/or masters degree in computer science or equivalent experience.Must have total 6+ yrs. of IT experience and experience in Data warehouse/ETL projects.Deep understanding of Star and Snowflake dimensional modelling.Strong knowledge of Data Management principlesGood understanding of Databricks Data & AI platform and Databricks Delta Lake ArchitectureShould have hands-on experience in SQL, Python and Spark (PySpark)Candidate must have experience in AWS/ Azure stackDesirable to have ETL with batch and streaming (Kinesis).Experience in building ETL / data warehouse transformation processesExperience with Apache Kafka for use with streaming data / event-based dataExperience 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 troubleshootDatabricks Certified Data Engineer Associate/Professional Certification (Desirable).Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projectsShould have experience working in Agile methodologyStrong verbal and written communication skills.Strong analytical and problem-solving skills with a high attention to detail.



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