Data Engineer

Requirements

• 5+ years of hands-on Data Engineering experience
• Strong experience with AWS services such as S3, IAM, Glue, EMR/EKS/ECS, Lambda, Redshift, CloudWatch
• Advanced proficiency in Python and SQL
• Experience with Airflow and distributed systems like Hive, Presto, or Trino
• Strong understanding of data lake and warehouse architectures such as Delta Lake, Snowflake, BigQuery, or Redshift
• Strong knowledge of ETL/ELT, data modelling, and orchestration patterns
• Exposure to streaming systems like Kafka, Kinesis, Spark Streaming, or Flink
• Experience with CI/CD, Docker, and Infrastructure as Code tools like Terraform
• Strong ownership mindset and ability to manage systems end-to-end

Responsibilities

• Design, build, and operate production-grade data pipelines for analytics, modelling, dashboards, and reporting
• Integrate and standardize data from multiple sources with consistent identifiers
• Create and maintain trusted datasets and data marts for repeated use
• Ensure reliability through monitoring, SLAs, and pipeline performance tuning
• Own and improve AWS-based data architecture with focus on security, scalability, and cost optimization
• Implement data governance, access controls, lineage, and auditability
• Set engineering standards through code reviews, testing, documentation, and runbooks
• Mentor junior data engineers and support team growth
• Partner with analysts and stakeholders to define consistent metrics and datasets

Job Details

Job location: Noida

Interview process

• HR screening round
• Technical interview round
• Data engineering or system design round
• Final leadership round