Data Engineer
2 days ago
We are seeking a highly skilled Data Engineer to join our team at Idexcel Technologies Private Limited. As a Data Engineer, you will play a key role in designing, developing, and deploying large-scale data systems on Amazon Web Services (AWS).
The successful candidate will have experience in building Real-time Data Analytics solutions on AWS and will be responsible for creating Data Lakes, designing and implementing Data Pipelines, and developing scalable and efficient data processing systems.
Key Responsibilities:
- Design and implement Data Lakes using open table formats
- Develop and maintain Data Pipelines using AWS Lambda and Apache Airflow
- Implement Real-time reporting platforms and Data Warehouses using AWS Redshift and Snowflake
- Work closely with cross-functional teams to ensure seamless integration of data systems
- Stay up-to-date with the latest developments in Data Engineering and AWS technologies
Requirements:
- Bachelor's degree in Computer Science or related field with good communication and presentation skills
- AWS full DE stack experience, including proficiency in Aurora Postgres DB, SQL, Spark, Kafka, Python, and AWS SDKs
- Experience in building Real-time Data Analytics solutions on AWS is a must
- Knowledge of Big Data Solutions such as Hadoop, NoSQL, MapReduce, and Agile Development methodologies
Benefits:
- Competitive salary: ₹1,200,000 - ₹1,800,000 per annum
- Opportunities for professional growth and development
- A collaborative and dynamic work environment
Tools and Technologies:
- Aurora Postgres DB
- SQL
- Spark
- Kafka
- Python
- Redshift
- Snowflake
- Airflow
- Glue (ETL, Catalog, Crawler)
- Lambda
- SQS
- SNS
- Data Lake
- Cloud watch
- Cloud Trail
- DBT
- AWS SDK
- Boto3
- Kinesis
- Kinesis Firehose
- Everbridge
- Code pipeline
- MongoDB
- Lake formation
- Cloud Formation
- Git Branching
- Code reviews
Optional Skills:
- Terraform
- Docker
- Kubernetes
Location: [To be determined]
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