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Senior Data Engineer

1 month ago


Anywhere in IndiaMultiple Locations RLS Associates Full time

Senior Data Engineer

No. of Years : 12 - 15 years

Work location : Anywhere in India

Work Mode : Remote

Work Type : Full time to Divit Technology Solutions Pvt. Ltd.

Job Description :

A software engineer in the role of data engineering role must be :

- Proficient in designing, developing and testing code to build data infrastructure and pipeline processes for batch and streaming data in the public (or private) cloud environment such as AWS, Azure, GCP.

- Familiar with leading practices around large scale data processing, data security and access control.

- Responsible for developing, provisioning, securing, monitoring and maintaining the data pipelines to support multiple enterprise and consumer applications in various environments such as - production, staging, testing and development environments in an automated manner.

- Collaborate with Engineering teams to determine the infrastructure that is required to support the data pipelines.

- Monitor health, security and costs of the provisioned data pipelines and take corrective actions as required.

- Define, capture, monitor and share key performance and health metrics for the data infrastructure for different applications and environments.

- Review and analyze logs related to data pipeline and infrastructure performance for incident management.

An engineer in this role, should :

- Collaborate with engineering teams to assist in their automated deployment on the provisioned infrastructure.

- Provide guidance on alternative infrastructure architectures as the cloud technologies evolve.

- Experiment and run proof of concepts on newer infrastructure technologies available in the cloud to suggest improvements.

Skills :

- Strong software development practices with emphasis on delivering high quality code.

- Good understanding of cloud infrastructure and services on one or more public cloud platforms to be able select suitable services for data processing.

- Strong skills in database management and querying languages such as SQL, MQL

- Strong experience in one or more of the following databases - PostgresQL, My SQL, SQL

- Strong experience in Analytical Databases/Platform like - RedShift, Azure Synapse, Snowflake, Spark, Databricks.

- Experience with one or more programming languages - Python, Java, Scala, C++, JavaScript

- Familiarity with AWS data technologies such as - AWS Glue, Athena, DynamoDB

- Experience with design, developing, testing and maintaining data pipelines and infrastructure

- Experience building and maintaining data pipelines.

- Strong collaboration skills to work with different stakeholders.

(ref:hirist.tech)