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Senior Data Engineer

2 months ago

Mumbai, India Quantiphi Full time

Role : Senior Data Engineer

Years of Experience : 3-7 years

Location : Mumbai/Bangalore (Hybrid)


JOB ROLE - Senior Data Engineer - AWS

We are seeking an experienced and passionate Senior Data Engineer (AWS) to join our dynamic team. In this role, you will play a crucial part in designing and implementing scalable and efficient data solutions on the AWS platform. If you are a data enthusiast with a strong background in AWS services and a proven track record of solving complex data challenges, we invite you to be a part of our innovative journey.


Must have skills:

  • Proficiency in SSIS, Sqoop, and creating data pipelines.
  • Expertise in SQL writing and performance optimization.
  • Knowledge of Data Ingestion and Engineering Platforms.
  • Understanding and experience in Data Warehousing or Data Integration projects.
  • Strong knowledge of MySQL/Amazon Aurora; familiarity with relational databases like ORACLE and SQL Server.
  • Good understanding of UNIX/LINUX shell scripting.
  • Minimum 2+ years of experience with AWS services (S3, DMS, Redshift, Glue, EMR, Lambda).
  • Expertise in data modeling principles/methods (Conceptual, Logical & Physical Data Models).
  • Familiarity with metadata management, data modeling, and related tools (Erwin, ER Studio, SQL Workbench).
  • Strong problem-solving, multitasking, and organizational skills.
  • Good written and verbal communication skills.


Good to have skills:


  • Familiarity with machine learning concepts and application.
  • Experience in big data technologies (Hadoop, Spark, Kafka).
  • Knowledge of additional relational databases, especially ORACLE and SQL Server.
  • Experience with other cloud platforms such as Azure.
  • Understanding of data security, compliance, and governance principles.
  • Exposure to DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines for data solutions.
  • Skills in advanced analytics, data mining, and statistical analysis.


Role & Responsibilities:


  • Collaborate with business users and stakeholders to understand business processes.
  • Design and implement Dimensional and Fact tables.
  • Identify and implement data transformation/cleansing requirements.
  • Develop highly scalable, reliable, and high-performance data processing pipelines.
  • Create conceptual, logical, and physical data models with metadata, including data lineage.
  • Design, develop, and maintain ETL workflows and mappings.
  • Provide research, high-level design, and estimates for data transformation and integration.
  • Support ETL processes for timely data availability.
  • Analyze and resolve problems, providing technical assistance as necessary.
  • Translate business information needs into well-defined data requirements.