Data Engineer

2 days ago

Remote, India Ultimate Digital Solutions Full time ₹ 1,10,000 per year

Position : Data Engineer

Experience: 5-8 years

Location: Remote with occasional travel to Bangalore (with cost and expense shared by client)

IST work timings

Immediate joiners

Key Responsibilities:

  • Design and implement enterprise-grade data warehouse solutions, including

developing dimensional and normalized data models from scratch to support reporting,

analytics, and machine learning use cases

  • Build and maintain star and snowflake schemas, slowly changing dimensions (SCD), and

other data modeling patterns aligned with business logic

  • Own end-to-end data architecture design, including schema evolution, data quality

frameworks, and comprehensive documentation for data models

  • Collaborate with analytics and productteams to translate business metrics into data

warehouse structures and KPIs

  • Design and implement scalable ETL/ELT pipelines for processing large-scale structured

and unstructured healthcare datasets across multiple sources

  • Build robust data ingestion frameworks to handle real-time and batch data processing from various healthcare systems, IoT devices, and third-party APIs

  • Develop and maintain data quality monitoring and validation systems to ensure data integrity and accuracy across the data warehouse

  • Implement data governance practices including data lineage tracking, metadata management, and access controls

  • Build automated data testing and monitoring pipelines to detect anomalies and ensure SLA compliance

  • Collaborate with ML engineers to create feature stores and data pipelines that support machine learning model development and deployment

Required Skills and Experience:

  • 6–8 years of experience in data engineering with strong focus on data warehouse design and implementation

  • Proficiency in SQL and database technologies (PostgreSQL, MySQL, Snowflake, BigQuery, Redshift)

  • Expert-level experience with data processing frameworks including Apache Spark, PySpark, and distributed computing concepts

  • Hands-on experience with ETL/ELT tools and frameworks (Apache Airflow, dbt, Fivetran, or similar)

  • Strong experience with cloud data platforms (AWS Data Services, GCP BigQuery/Dataflow, or Azure Data Factory)

  • Proficiency in Python and/or Scala for data pipeline development and automation

  • Experience with data modeling techniques including dimensional modeling, data vault, and normalization strategies

  • Understanding of data governance, security, and compliance requirements, especially in healthcare contexts

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical discipline

  • Experience with real-time data processing using technologies like Apache Kafka, Kinesis, or Pub/Sub

  • Exposure to HealthTech or Healthcare services domain with understanding of healthcare data standards (HL7, FHIR)

  • Experience with data lake architectures and modern data stack implementations

  • Familiarity with Infrastructure as Code (Terraform, CloudFormation) for data infrastructure management

  • Knowledge of containerization technologies (Docker, Kubernetes) for data pipeline deployment

Job Type: Full-time

Pay: Up to ₹110,000.00 per month

Application Question(s):

  • Where are you located now?
  • Do you have bachelor degree in computer science, Data Engineering, Information Systems?
  • Are you ok with "Remote with occasional travel to Bangalore (with cost and expense shared by client)" ?

Experience:

  • Data warehouse: 6 years (Required)
  • PostgreSQL, Mysql, Snowflake: 5 years (Preferred)
  • Apache Spark, : 5 years (Preferred)
  • AWS Data services: 5 years (Preferred)

Work Location: Remote

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