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Data Engineer
Job Description
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : PySpark
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating efficient data pipelines, ensuring the integrity and quality of data, and implementing ETL processes to seamlessly migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the solutions you develop align with organizational goals and best practices. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Analyze and troubleshoot data-related issues to ensure optimal performance of data solutions. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling concepts and database design. - Experience with ETL tools and processes to manage data workflows. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Knowledge of data governance and data quality best practices. Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : PySpark
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating efficient data pipelines, ensuring the integrity and quality of data, and implementing ETL processes to seamlessly migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the solutions you develop align with organizational goals and best practices. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Analyze and troubleshoot data-related issues to ensure optimal performance of data solutions. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling concepts and database design. - Experience with ETL tools and processes to manage data workflows. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Knowledge of data governance and data quality best practices. Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education
More Info
Key Skills
data modeling concepts
data quality best practices
ETL tools and processes
About Company
Skills:
Power Bi, PowerShell, SSIS, Azure Synapse, Vbscript, Ssas, Vba, Azure Data Lake, DevOps practices, Windows Server 2019 2022, Azure Data Factory ADF, CI CD pipelines, ETL ELT development, SQL Server 2019 2022
Skills:
Pyspark, Azure Data Factory, Azure Functions, Azure Databricks, Sql, Synapse, ADLS, Databricks notebooks using Python
Skills:
Power Bi, Microsoft Sql Server, Azure Databricks, Data Modeling, Sql, Azure Data Factory, Azure Synapse Analytics, Spark, Reporting Tools, Python, Microsoft Azure data platform, data pipelines, ER modelling, Azure Analysis Services
Skills:
snowflake , Informatica, Data Warehousing, Redshift, Databricks, Talend, Python, Etl, Aws S3, Airflow, AWS EMR, Luigi, Business intelligence, Azkaban, Athena
Skills:
.NET, Json, Sql, ELT, Git, Docker, Xml, Rest Apis, Azure, Python, AWS, Etl, ASP.NET Core, Data Processing