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Data Engineer
Develop and optimize large-scale data pipelines using PySpark for enterprise data integration
Bangalore
Senior
21 hours agoBe an early applicant
Accenture
A global professional services company offering consulting, technology, and outsourcing services to a wide range of industries.
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Data Engineer
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
Minimum 3 year(s) of experience is required. 15 years full time education is required.
Roles & responsibilities include:
- Develop and maintain ETL pipelines using PySpark for data ingestion, transformation, and aggregation.
- Write optimized and reusable PySpark code to process large-scale datasets.
- Work with structured and unstructured data sources (CSV, JSON, Parquet, Avro, relational DBs, etc.).
- Optimize Spark jobs for scalability, reliability, and performance.
- Collaborate with data engineers, analysts, and business stakeholders to deliver clean and reliable datasets.
- Implement data quality checks, monitoring, and logging for pipelines.
- Work with cloud storage and big data frameworks (HDFS, Hive, Delta Lake, S3, ADLS, BigQuery).
- Apply best practices for code versioning (Git), testing, and CI/CD deployment.
- Document design, workflows, and technical solutions.
Professional & technical skills:
- Proficiency in PySpark.
- Strong understanding of data modeling and database design principles.
- Work with cloud storage and big data frameworks (HDFS, Hive, Delta Lake, S3, ADLS, BigQuery).
- Experience with ETL tools and processes.
- Familiarity with cloud platforms such as AWS or Azure.
- Knowledge of data warehousing concepts and technologies.
This position is based at our Bengaluru office.
About Accenture
A global professional services company offering consulting, technology, and outsourcing services to a wide range of industries.