Amazon Web Services (AWS)As a Senior Data Engineer, you will be responsible for building and delivering a Lakehouse-based data pipeline. This is a hands-on role focused on implementing real-time and batch data ingestion, processing, and delivery workflows, while ensuring strong monitoring, observability, and data quality across the entire pipeline.
Must-Have Skills
- 3+ years of hands-on experience building large-scale data pipelines
- Strong experience with Spark Streaming, AWS Glue, and EMR for real-time and batch processing
- Proficiency in PySpark/Python, including building Kafka producers for data ingestion
- Experience working with Confluent Kafka and Spark Streaming for ingestion from on-premise sources
- Solid understanding of AWS services including:
- S3
- Redshift
- Glue
- CloudWatch
- Secrets Manager
- Experience working with Medallion Architecture and hybrid data destinations (e.g., Redshift + on-prem Oracle)
- Ability to implement monitoring dashboards and observability using tools like CloudWatch or Datadog
- Strong SQL skills for data validation and job-level metrics development
- Experience building alerting mechanisms for pipeline failures and performance issues
- Strong collaboration and communication skills
- Proven ownership mindset — driving deliverables from design to deployment
- Experience mentoring junior engineers, conducting code reviews, and guiding best practices
- AWS Certified Data Engineer – Associate (preferred/required)
Good-to-Have Skills
- Experience with orchestration tools such as Apache Airflow or AWS Step Functions
- Exposure to Big Data ecosystem tools:
- Sqoop
- HDFS
- Hive
- NiFi
- Exposure to Terraform for infrastructure automation
- Familiarity with CI/CD pipelines for data workflows
Shubham Vishwakarma
Full Stack Developer - Averlon
About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Full Stack Developer - Averlon