Senior Data Engineer

4 weeks ago

Hyderabad, India Aeries Technology Group Full time

Role : Senior Data Engineer

Years of Relevant Experience : 6-10 Years .

Shift: 1 PM -10PM

Benefits: Cab Facility.

Base Location : Hyderabad (Hybrid, 3 Days WFO)

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.

Responsibilities :

- 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 (6-10 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.

- Hands-on experience with PySpark for large-scale 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 real-time data streaming and processing.

- Specific expertise in Kafka Streams for advanced data stream processing.

- Excellent problem-solving skills and the ability to work in a fast-paced 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

(ref:hirist.tech)

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