Data Engineer

7 days ago

Mumbai, Maharashtra, India Iitjobs Inc. Full time US$ 60,000 - US$ 1,20,000 per year

About the Role: Data Engineer

We are seeking a highly skilled Data Engineer with 5+ years of hands-on experience in building and maintaining scalable data pipelines, integrating data from multiple sources, and optimizing data architecture for analytics and machine learning. You will play a key role in designing, implementing, and maintaining our data infrastructure to ensure reliable, high-quality data for business decision making, The ideal candidate will have a strong background in data engineering, ETL development, and cloud-based data architecture, with a passion for delivering high-quality data to power analytics and business insights.

Key Responsibilities:


• Design, develop, and maintain data pipelines and ETL/ELT processes using AWS services such as Glue, Lambda, S3, Redshift, and Athena.


• Build and optimize data architectures using Azure Databricks, Azure Data Lake, and Azure Synapse Analytics.


• Develop and manage ETL/ELT workflows leveraging Azure Data Factory and Databricks notebooks.


• Develop and optimize data models (both relational and dimensional) for analytical efficiency.


• Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.


• Integrate data from diverse sources including APIs, databases, third-party platforms, and cloud storage. Global Presence: US - UK -UAE - IND - SGP | |


• Ensure data quality, consistency, and reliability through robust validation and monitoring frameworks.


• Implement best practices for data security, governance, and compliance.


• Optimize data storage and retrieval performance using modern data processing frameworks.


• Contribute to the continuous improvement of data engineering standards and automation processes.


• Use AI and machine learning techniques to automate data quality checks, anomaly detection, and issue resolution.

Ideal candidate profile:


• Bachelors/Master's degree in Computer Science, Information Systems, Engineering, or a related field.


• 5+ years of experience as a Data Engineer or in a similar data-focused role.


• Strong proficiency in SQL and experience with data modeling and database design (e.g., PostgreSQL, Snowflake, BigQuery, Redshift)


• Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Data Lake Storage (ADLS).


• Deep understanding of data modeling, ETL design, and data warehousing concepts.


• Proven expertise with AWS data services: Glue, Redshift, S3, Athena, Lambda, Step Functions, and CloudWatch


• Hands-on experience with ETL frameworks (e.g., Airflow, dbt, AWS Glue, Azure Data Factory).


• Proficiency in Python or Scala for data processing and automation.


• Experience with cloud platforms (AWS, Azure, or GCP) and related data services.


• Familiarity with big data tools such as Spark, Hadoop, or Kafka.


• Strong understanding of data warehousing concepts and best practices for data pipeline development.


• Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code tools (Terraform, CloudFormation)

Preferred Skills:

  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect) are a plus.
  • Experience with containerization and orchestration tools (Docker, Kubernetes).
  • Knowledge of data governance, data cataloging, and metadata management.
  • Exposure to machine learning pipelines or real-time data streaming. Strong problem-solving skills and ability to work in a fast-paced, agile environment.

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