Data Engineer - Snowflake / Azure /AWS @ Oracle

Job Description

Overview The Data Engineer plays a crucial role in our organization, responsible for developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems. They will work closely with the data science team and business stakeholders to understand their requirements and provide the infrastructure to support their work. Key Responsibilities Design and develop data pipelines and ETL processes using Snowflake, Azure (ADLS, ADF, Synapse), and/or AWS (Redshift, EMR, Glue). Collaborate with data architects, modelers, and IT team members on project goals and solution methods. Extract, transform, and load data from various sources into Snowflake and other data platforms. Implement and support data infrastructure solutions using Informatica, DataStage, and other relevant tools. Manage and optimize data pipeline performance, troubleshoot data quality issues, and ensure data integrity. Deploy Machine Learning models and algorithms into production environment. Design and develop scalable data processing and analytics solutions on cloud platforms. Create and maintain technical documentation related to data engineering processes and systems. Collaborate with cross-functional teams to address business needs and drive business value through data solutions. Assist in implementing data governance and security best practices. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in building and optimizing "big data" data pipelines, architectures, and data sets. Proficiency in SQL and experience with large-scale databases (e.g., Snowflake, Redshift). Hands-on experience with cloud platforms such as Azure and/or AWS. Experience with ETL tools like Informatica, DataStage, and data orchestration tools like Azure Data Factory. Strong programming skills in Python, Java, or Scala. Experience with data modeling, data warehousing, and building data lakes. Understanding of data management and storage principles. Ability to work in a fast-paced, collaborative, and agile development environment. Excellent problem-solving and communication skills. Skills: snowflake,azure,glue,datastage,aws,data engineering,etl,

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   snowflake azure glue datastage aws data engineering etl sql python java scala