Required Data Engineer, Hyderabad by BABDE PVT
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नौकरी का सारांश
Required Data Engineer, Hyderabad by BABDE PVT
वेतन - चर्चा योग्य
नौकरी का प्रकार - ऑफिस से फुल टाईम नौकरी
रोजगार का प्रकार - कंपनी के पेरोल पर नौकरी
PostJobFree.com (December-2015 से पंजीकृत) ने 2 दिन पहले इस नौकरी को पोस्ट किया था
नौकरी के लिए आवश्यक मानदंड
न्यूनतम अनुभव - फ्रेशर
कौन आवेदन कर सकता है - पुरुष / महिला दोनों
नौकरी का विवरण
Job Title - Data Engineer
Experience - 3-5 years
Job Location Hyderabad
Important Skills - Data bricks, Snowflake, DBT, Python, AWS.
Knowledge, Skills, and Abilities:
. Expertise in SQL
Familiarity with Github, VS Code, Linux CLI, File formats like CSV, and Parquet.
Familiarity with Data visualization tools, such as Tableau or Power BI.
. Agile methodologies
. Preferible Data bricks, Snowflake, DBT, Python, AWS Certification.
Essential Duties and Responsibilities:
Build and maintain batch data pipelines across the advanced analytics platform.
Design, develop, and orchestrate highly robust and scalable ETL/ELT pipelines.
Develop a highly optimal codebase and perform Spark optimizations for Big Date use cases.
Design, develop, and deploy optimal monitoring and testing strategies for the data products.
Collaborate with stakeholders and advanced analytics business partners to
understand
business needs and translate requirements into scalable data engineering
solutions.
Collaborate with data scientists to prepare data for model development and
production.
Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
Experience - 3-5 years
Job Location Hyderabad
Important Skills - Data bricks, Snowflake, DBT, Python, AWS.
Knowledge, Skills, and Abilities:
. Expertise in SQL
Familiarity with Github, VS Code, Linux CLI, File formats like CSV, and Parquet.
Familiarity with Data visualization tools, such as Tableau or Power BI.
. Agile methodologies
. Preferible Data bricks, Snowflake, DBT, Python, AWS Certification.
Essential Duties and Responsibilities:
Build and maintain batch data pipelines across the advanced analytics platform.
Design, develop, and orchestrate highly robust and scalable ETL/ELT pipelines.
Develop a highly optimal codebase and perform Spark optimizations for Big Date use cases.
Design, develop, and deploy optimal monitoring and testing strategies for the data products.
Collaborate with stakeholders and advanced analytics business partners to
understand
business needs and translate requirements into scalable data engineering
solutions.
Collaborate with data scientists to prepare data for model development and
production.
Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
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पता : Hyderabad, Andhra Pradesh, India
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