Job highlights

- Experience in Building Data pipelines in AWS (S3,EC2,EMR,Athena,Redshift) . Self-starter resourceful personality with the ability to manage pressure situations .

- Programming background Scala (preferred) / Python .

- Expert-level proficiency in Scala with proven experience building large-scale data pipelines .

- Experience in Scala,Spark,PySpark and Java (Good to have)

:

- Tech-savvy engineer - willing and able to learn new skills, track industry trend

- 5+ years of total experience of solid data engineering experience, especially in open-source, data-intensive, distributed environments with experience in Big data-related technologies like Spark, Hive, HBase, strong focus on Scala, etc.

- Expert-level proficiency in Scala with proven experience building large-scale data pipelines

- Programming background Scala (preferred) / Python

- Experience in Scala, Spark, PySpark and Java (Positive to have).

- Experience in migration of data to AWS cloud

- Experience in SQL and NoSQL databases.

- Optional: Model the data set from Teradata to the cloud.





- Experience in Building ETL Pipelines

- Experience in Building Data pipelines in AWS (S3, EC2, EMR, Athena, Redshift)

- Self-starter resourceful personality with the ability to manage pressure situations

- Exposure to Scrum and Agile Development Best Practices

- Experience working with geographically distributed teams

Role Responsibilities:

- Build Data and ETL pipelines in AWS

- Support migration of data to the cloud using Big Data Technologies like Spark, Hive, Talend, Scala, Python

- Interact with customers on a daily basis to ensure smooth engagement

- Responsible for timely and quality deliveries.

- Fulfill organization responsibilities Sharing knowledge and experience within the other groups in the organization, conducting various technical sessions and training.

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📌 Sr. Data Engineer(SG) (Pune)
🏢 Lorven Technologies
📍 Pune