Posted:2 hours ago|
Platform:
Hybrid
Full Time
Having good development and design experience as Data Engineer.
Strong experience in PySpark, Spark, Python, Hadoop eco-system.
Experience on Big Data platforms and distributed computing (e.g. Hadoop, Map/Reduce, Spark, HBase, Hive).
Experience in data pipeline software engineering and best practice in python (linting, unit tests, integration tests, git flow/pull request process, object-oriented development, data validation, algorithms and data structures, technical troubleshooting and debugging, bash scripting ). Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation (schema, dictionaries)
Experience in data architecture, data warehousing and modelling techniques (Relational, ETL, OLTP) and consider performance alternatives Used SQL, PL/SQL or T-SQL with RDBMSs production environments, No-SQL databases
Nice to have Linux OS configuration and use, including shell scripting.
Well versed with Agile, DevOps and CI/CD principles (GitHub, Jenkins etc.), and actively involved in solving, troubleshooting issues in distributed services ecosystem.
Clover Infotech
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