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Accenture
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Data Engineer

Data Engineer

Accenture

2 - 4 years

4 - 8 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

hive pyspark spark data pipeline architecture aws data management scala apache pig sql apache gcp bigquery hadoop etl big data hbase python azure data lake data processing data engineering data quality mapreduce sqoop data integration etl process

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role

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 :Apache Spark

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems, contributing to the overall efficiency and effectiveness of data management within the organization. Roles & Responsibilities:-Develop and maintain data processing pipelines using Apache Spark (PySpark).-Write efficient and optimized Python code to handle large datasets.-Design and implement ETL workflows for ingestion, transformation, and storage of data.-Optimize Spark jobs for performance and scalability.-Work with big data platforms (HDFS, Hive, Delta Lake, etc.) and cloud storage (AWS S3, Azure Data Lake, GCP BigQuery).-Collaborate with data engineers, analysts, and data scientists to deliver reliable data solutions.-Implement unit testing, debugging, and monitoring of Spark applications.-Ensure data quality, security, and compliance in all developed solutions.-Document workflows, architecture, and code best practicesProfessional & Technical
Skills:

-
Must To Have Skills:

Proficiency in Apache Spark.-Work with big data platforms (HDFS, Hive, Delta Lake, etc.) and cloud storage (AWS S3, Azure Data Lake, GCP BigQuery).- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing.
Additional Information:- The candidate should have minimum 7 years of experience in Apache Spark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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Data Engineer