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Data Engineer (Freelancer)

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Onsite

Data Engineer (Freelancer)

Soul Ai

Data Engineer (Freelancer)

Skills

Google Cloud PlatformData EngineeringPythonJavaKafkaSnowflakeGrafanaData AnalysisMachine LearningAIScalaAWSPrometheusKubernetesAWS KinesisApache AirflowHadoopComplianceTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


  • We are lookingWe are looking for top-tier Data Engineers who are proficient in designing, building and optimizing data pipelines.
  • If you have experience in this field then this is your chance to collaborate with industry leaders.

Whats in it for you.

  • Pay above market standards.
  • The role is going to be contract based with project timelines from 2 12 months, or freelancing.
  • Be a part of an Elite Community of professionals who can solve complex AI challenges.
  • Work location could be
  • Remote (Highly likely).
  • Onsite on client location.
  • Deccan AIs OfficeHyderabad or Bangalore.

Responsibilities

  • Design and architect enterprise-scale data platforms, integrating diverse data sources and tools.
  • Develop real-time and batch data pipelines to support analytics and machine learning.
  • Define and enforce data governance strategies to ensure security, integrity, and compliance along with optimizing data pipelines for high performance, scalability, and cost efficiency in cloud environments.
  • Implement solutions for real-time streaming data (Kafka, AWS Kinesis, Apache Flink ) and adopt DevOps/ DataOps best practices.

Required Skills:

  • Strong experience in designing scalable, distributed data systems and programming (Python, Scala, Java) with expertise in Apache Spark, Hadoop, Flink , Kafka, and cloud platforms (AWS, Azure, GCP).
  • Proficient in data modeling, governance, warehousing (Snowflake, Redshift, BigQuery ), and security/compliance standards (GDPR, HIPAA).
  • Hands-on experience with CI/CD (Terraform, Cloud Formation, Airflow, Kubernetes) and data infrastructure optimization (Prometheus, Grafana).

Nice to Have

  • Experience with graph databases, machine learning pipeline integration, real-time analytics, and IoT solutions.
  • Contributions to open-source data engineering communities.
  • What are the next steps.
  • Register on our Soul AI website.
  • Our team will review your profile.
  • Clear all the screening roundsClear the assessments once you are shortlisted.
  • Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project.
  • Skip the Noise.
  • Focus on Opportunities Built for You!.

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