Job Description
We are hiring for our client in engineering and data space for the position of Data Engineers. As a Data Engineer, the candidate will play a crucial role in designing, developing, and maintaining data pipelines, systems, and solutions that empower our clients to make informed business decisions.
Role : Data Engineer
Experience : 2-3yrs
Location : Gurgaon and Bangalore
Tech Stack : Data engineer, Python, Pyspark, SQL, Cloud (AWS/Azure/GCP)
Job Description
- Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective using programming languages like Python and Py Spark.
- Deep knowledge of Big Data querying and analysis tools, such as Py Spark, Hive, Snowflake and Databricks.
- Broad expertise in at least one Cloud platform like AWS/GCP/Azure.* Working knowledge of automation and deployment tools such as Airflow, Jenkins, Git Hub Actions, etc., as well as infrastructure-as-code technologies like Terraform and Cloud Formation.
- Good understanding of Dev Ops, CI/CD pipelines, orchestration, and containerization tools like Docker and Kubernetes.
- Experience with No SQL databases, such as HBase, Cassandra, Mongo DB
- Basic understanding on Machine Learning methodologies and pipelines.
- Communication Skills: Strong communication skills, enabling effective collaboration with both technical and non-technical team members.
Role : Data Engineer
Experience : 2-3yrs
Location : Gurgaon and Bangalore
Tech Stack : Data engineer, Python, Pyspark, SQL, Cloud (AWS/Azure/GCP)
Job Description
- Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective using programming languages like Python and Py Spark.
- Deep knowledge of Big Data querying and analysis tools, such as Py Spark, Hive, Snowflake and Databricks.
- Broad expertise in at least one Cloud platform like AWS/GCP/Azure.* Working knowledge of automation and deployment tools such as Airflow, Jenkins, Git Hub Actions, etc., as well as infrastructure-as-code technologies like Terraform and Cloud Formation.
- Good understanding of Dev Ops, CI/CD pipelines, orchestration, and containerization tools like Docker and Kubernetes.
- Experience with No SQL databases, such as HBase, Cassandra, Mongo DB
- Basic understanding on Machine Learning methodologies and pipelines.
- Communication Skills: Strong communication skills, enabling effective collaboration with both technical and non-technical team members.
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