Senior Data Engineer

2 weeks ago


Hyderabad, Telangana, India Aeries Technology Group Full time

About Aeries :


Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai.

We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models.

Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.


Read about us at :

  • Build data pipeline between source systems (RDS/SQL Server) to Snowflake on AWS
  • ETL data into AWS S3
  • ELT Data into Snowflake
  • Realtime data integration through CDC and AWS managed Kafka streams.
  • Embedded Tableau reporting
  • Data transformations using SQL, Python, PySpark, and DBT
  • Through understanding of data engineering principles including data lakes, and data warehouse
  • Data orchestration using Apache Airflow
  • Data Analysis skills
  • Best practices in data management, data quality and data stewardship were applied to ensure data integrity and reliability.
  • Optimize data pipelines for productivity and efficiency by considering factors such as scalability, reliability, and cost effectiveness.
  • Troubleshoot and resolve data infrastructure and pipelines in a timely manner.

Here's What You'll Do :

  • Bachelor's or master's degree in computer science, Engineering, or a related field.
  • Proven experience (610 years) as a Data Engineer
  • Proficiency in SQL for data extraction, transformation, and analysis across various database systems.
  • Strong programming skills in Python for data manipulation, scripting, and building data engineering solutions.
  • Experience in Tableau for data visualization, dashboard creation, and presenting insights.
  • Handson experience with PySpark for largescale data processing and analysis.
  • Familiarity with Apache Airflow for workflow management and automation.
  • Practical knowledge of AWS services like S3, EC2, EMR, etc., for building data solutions.
  • Understanding and usage of Kafka for realtime data streaming and processing.
  • Specific expertise in Kafka Streams for advanced data stream processing.
  • Excellent problemsolving skills and the ability to work in a fastpaced environment.
  • Strong communication and collaboration skills with a proactive attitude towards learning and implementing new technologies.
  • Curiosity about Business Process, experience in optimizing and automating processes
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