Cloud-Native Data Solutions Specialist

4 days ago

Mangalore, Karnataka, India beBeeDataEngineer Full time ₹ 25,00,000 - ₹ 35,00,000

Data Engineering Expert

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We are seeking skilled Data Engineers to design, build and manage robust data pipelines that power Agentic AI solutions on AWS. The role focuses on developing efficient ETL/ELT workflows, ensuring data quality, security and scalability to support AI/ML model training, inference and intelligent decision-making processes in a cloud-native environment.

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The ideal candidate will have hands-on experience with data engineering tools like Apache Airflow, AWS Step Functions and Dagster. They will also be proficient in programming languages such as Python, SQL and Scala/Java. Strong knowledge of data modeling, data warehousing concepts and schema design principles is required.

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A successful Data Engineer at our company will ensure that all data flows smoothly through the pipeline, from ingestion to processing and storage. They will work closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training, inference and fine-tuning. Our team uses a variety of technologies including S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS and Lake Formation.

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  • Design, develop and maintain ETL/ELT pipelines to process structured, unstructured and streaming data in AWS environments.">
  • Leverage AWS services to achieve scalable data ingestion, transformation, storage and querying.">
  • Ensure robust data governance, security and quality controls throughout the data lifecycle.">
  • Enable both real-time and batch data processing pipelines to power AI-driven workflows and applications.">
  • Collaborate with AI/ML teams to prepare clean, high-quality datasets.">
  • Optimize data infrastructure to achieve high performance, scalability, reliability and cost efficiency.">
  • Maintain thorough documentation of data pipelines, architecture and processes.">
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Required Skills & Qualifications:

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  • Hands-on experience in Data Engineering, building data pipelines and cloud-based data solutions.">
  • Strong programming skills in Python, SQL and/or Scala/Java.">
  • Expertise in AWS cloud services including S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda, Step Functions, DynamoDB and RDS.">
  • Experience with data pipeline orchestration tools such as Apache Airflow, AWS Step Functions, Dagster or similar.">
  • Proficiency in big data frameworks like Apache Spark, Hadoop or Flink.">
  • Solid understanding of data modeling, data warehousing concepts and schema design principles.">
  • In-depth knowledge of data governance, lineage, security policies (IAM roles, encryption, Lake Formation).">
  • Hands-on experience in managing real-time streaming data using Kafka, Kinesis or equivalent tools.">
  • Familiarity with DevOps practices, including Infrastructure as Code (Terraform, CloudFormation), CI/CD automation, Git and containerization (Docker).">
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Benefits:

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This position offers a competitive salary and benefits package, as well as opportunities for professional growth and development. We are looking for someone who is passionate about designing scalable and efficient cloud-native data solutions.

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Preferred Attributes:

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  • Experience working in regulated industries (healthcare, Life Sciences) with a focus on compliance and data privacy.">
  • Strong problem-solving skills and ability to work in a collaborative, cross-functional team environment.">
  • Passion for designing scalable and efficient cloud-native data solutions.">
  • Excellent documentation skills, ensuring clear communication of technical solutions and architecture.">
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