Data Engineer

Remote • Posted 4 hours ago • Updated 4 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
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Job Details

Skills

  • Data Engineer
  • Data Engineering
  • ETL
  • ELT
  • Data Pipelines
  • Data Platform
  • Big Data
  • Distributed Systems
  • Data Integration
  • Data Processing
  • Python
  • Scala
  • SQL
  • PySpark
  • Spark SQL
  • Apache Spark
  • Hive
  • AWS
  • Amazon Web Services
  • S3
  • Glue
  • EMR
  • Redshift
  • Azure
  • Microsoft Azure
  • ADLS
  • ADF
  • Synapse
  • Cloud Computing
  • Databricks
  • Snowflake
  • Data Lake
  • Lakehouse
  • Delta Lake
  • Apache Kafka
  • Event Hubs
  • AWS Kinesis
  • Data Modeling
  • Data Warehousing
  • Data Architecture
  • Streaming Data
  • Batch Processing
  • Real-time Processing
  • Data Ingestion
  • Data Transformation
  • Data Curation
  • CI/CD
  • DevOps
  • Git
  • Infrastructure as Code
  • Terraform
  • CloudFormation
  • Bicep
  • Orchestration
  • Airflow
  • AWS Managed Airflow
  • Data Governance
  • Data Quality
  • Data Lineage
  • Data Security
  • IAM
  • RBAC
  • DBT
  • Apache Iceberg
  • Apache Hudi
  • Medallion Architecture
  • Problem Solving
  • Analytical Thinking
  • Debugging
  • Production Support
  • Root Cause Analysis
  • RCA
  • Communication
  • Collaboration
  • Agile

Summary

Job Title: Data Engineer

Experience: 4–8 Years

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong experience in distributed data processing, ETL/ELT development, and cloud data services on AWS or Azure. The role involves working on modern data architectures including data lakes and lakehouse frameworks to support analytics and AI use cases.


 Key Responsibilities

  • Design, develop, and maintain batch and real-time data pipelines
  • Build robust ETL/ELT workflows for data ingestion, transformation, and curation
  • Work with distributed processing frameworks like Apache Spark
  • Develop scalable data solutions on AWS or Azure cloud platforms
  • Ensure efficient data storage using data lake/lakehouse architectures
  • Implement data quality, governance, and lineage frameworks
  • Optimize data pipelines for performance, scalability, and cost efficiency
  • Monitor and resolve production issues and perform root cause analysis (RCA)
  • Collaborate with data scientists, analysts, and business stakeholders
  • Support CI/CD implementation for data engineering workflows
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91163707
  • Position Id: 8938491
  • Posted 4 hours ago

Company Info

About Siro Clinpharm Pvt Ltd

Founded in 1996 as the SIRO Research Foundation and incorporated in 2000 as SIRO Clinpharm Private Limited, SIRO brings over two decades of exceptional project management expertise to the table. From pioneering proof-of-concept trials to managing complex, multinational studies involving rare diseases, stringent protocols, and accelerated timelines, SIRO has consistently delivered with precision and reliability. Our win-win philosophy drives us to ensure success for every client. Today, SIRO stands as a leading provider of drug development and discovery solutions, offering a diverse and innovative suite of CRO services to global biotech, pharmaceutical, medical device, and academic institutions. To better serve our clients’ evolving needs, we have strategically reorganized into three specialized entities: SIRO Clintech, SIRO Medical Writing, and SIRO Clinpharm, which continues to offer specialized FSP services.
 
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