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Iris Solutions
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Data Engineer

Data Engineer

Iris Solutions

2 - 6 years

4 - 8 Lacs

noida

Posted:1 hour ago| Platform:

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Skills Required

unix health insurance shell scripting consulting scala agile continuous improvement sdlc python data extraction

Work Mode

Work from Office

Job Type

Full Time

Job Description

Solid experience, knowledge and skills in Data Engineering, BI/software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment.

Proven experience in data modelling, analysis, and profiling.

Experience of working in diverse data domains.

Continuous improvement and performance optimisation practice ensuring high levels of performance, availability and integrity.

Proven consulting and mentoring experience.

Experience in working within an Agile environment.

Experience in applying DevOps practices, SDLC, CI/CD principles to build automated pipelines and deployment.

Other capabilities

Hands on in SQL and its Big Data variants (Hive-QL, Databricks)

Python and Spark and one or more of its API (PySpark, Spark SQL, Scala), Bash/Shell scripting

Experience with Source code control - GitHub, VSTS etc.

Knowledge and exposure to Big Data technologies Hadoop stack such as HDFS, Hive, Impala, Spark etc, and cloud Big Data warehouses - RedShift, Snowflake etc.

Experience with UNIX command-line tools.

Exposure to AWS technologies including EMR, Glue, Athena, Data Pipeline, Lambda, etc

Mandatory Competencies

Python - Python

Database - SQL

Beh - Communication

Big Data - Big Data - Pyspark

Development Tools and Management - Development Tools and Management - CI/CD

At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, were committed to providing a supportive and rewarding work environment.

Join us and experience the difference of working at a company that values its employees success and happiness.

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Data Engineer