Data Engineer

1 week ago

Remote, India Ritchoiz Full time ₹ 15,00,000 - ₹ 30,41,108 per year

Key Responsibilities

  • Design, build, and maintain ETL/ELT pipelines for structured and unstructured data in AWS.
  • Work with AWS services (e.g., S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS) to manage data ingestion, transformation, and storage.
  • Ensure data quality, governance, and security across the full lifecycle.
  • Enable real-time and batch data processing to support AI-driven workflows.
  • Collaborate with AI/ML teams to prepare datasets for model training, inference, and fine-tuning.
  • Optimize data infrastructure for scalability, cost-efficiency, and performance.
  • Implement CI/CD pipelines and best practices for data engineering in a cloud-native environment.
  • Monitor and troubleshoot data pipelines to ensure high availability and reliability.

Required Skills & Qualifications

  • 3–7 years of experience in data engineering (adjust based on seniority).
  • Strong programming skills in Python, SQL, and/or Scala/Java.
  • Expertise in AWS cloud ecosystem (S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda, etc.).
  • Experience with data pipeline orchestration tools (Airflow, Step Functions, Dagster, or similar).
  • Proficiency with big data frameworks (Spark, Hadoop, or Flink).
  • Familiarity with data modeling, warehousing, and schema design.
  • Solid understanding of data governance, lineage, and security (IAM, Lake Formation, encryption).
  • Experience with real-time streaming data (Kafka, Kinesis, or equivalent).
  • Knowledge of DevOps practices (Terraform/CloudFormation, CI/CD, Git, Docker).

Job Type: Full-time

Pay: ₹1,500, ₹3,041,108.58 per year

Work Location: Remote

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