Data Engineers
External
Synechron · Bengaluru - Thanissandra (bcit)Full-timeOn-siteToday
AirflowApacheAWSCI/CDData WarehousingETL
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Responsibilities
- Design and develop ETL pipelines for data ingestion and processing
- Build and optimize Apache Spark jobs using Scala
- Develop and maintain data workflows on AWS
- Work with structured and unstructured data from multiple sources
- Ensure data quality, performance, and scalability
- Integrate data across systems using APIs and cloud services
- Monitor pipelines and troubleshoot issues
- Collaborate with cross-functional teams (data scientists, analysts, product teams)
- Required Skills & Qualifications
- Bachelor's degree in Computer Science, IT, or related field
- Strong experience in Apache Spark and Scala
- Hands-on experience with ETL pipeline development
- Experience with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.)
- Good knowledge of SQL and databases
- Understanding of data warehousing concepts
- Familiarity with version control (Git)
- Preferred Skills
- Experience with Big Data tools (Hadoop, Hive, Kafka)
- Knowledge of data orchestration tools (Airflow)
- Experience in real-time/streaming data processing
- Exposure to DevOps and CI/CD pipelines
- Key Competencies
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced environment
- Good communication and teamwork
- S YNECHRON'S DIVERSITY & INCLUSION STATEMENT
- All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .
- Candidate Application Notice
Benefits
Flexible scheduleEquity / stock options
Additional Information
Job Title: Data Engineer (Spark, Scala, ETL, AWS) Job Summary We are looking for a Data Engineer with experience in building scalable data pipelines using Spark, Scala, and AWS services. The ideal candidate will work on processing large datasets, developing ETL pipelines, and supporting cloud-based data platforms.
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