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Software Development Engineer 2

3 months ago

Bengaluru, India ScaleneWorks Full time

Job Title

Software Development Engineer 3 / Software Development Engineer 2

Summary

As a Data Engineer, you will be responsible for designing, developing, and maintaining our data pipelines and data products. You will work closely with our product definition analysts, data scientists, data engineers and architects to ensure the reliability, scalability, and performance of our data assets.

Key responsibilities

Design, implement, deploy, and maintain data marts, ETL (extract, transform, load) processes and systems. A.k.a. as our assets.
Ensure the reliability, scalability, and performance of our data assets.
Design and maintain quality indicators as well as the corresponding monitoring and alerting means.
Troubleshoot and document issues respecting standards.
Continuous improvement mindset applied to data related issues, systems, and processes.
Technical and expertise awareness to keep up with industry standards, security recommendations and best practices within Offer organization.
About the ideal candidate:

Hands-on experience writing Production quality code in Scala (preferred) or PySpark or Java.
Hands-on experience on big data technologies, including the mapr filesystem, Apache Spark, Hadoop, Kafka & Impala.
Proven experience with the Apache Spark Architecture and components.
Hands-on experience on scripting languages including Bash scripting and Python.
Knowing different kinds of database technologies, including of course SQL.
Previous work with no-SQL databases, like MongoDB will be a plus.
Solid knowledge of build tools and in particular Maven and SBT.
Experience on building and maintaining DevOps pipelines will be a plus.
Familiarity with analytics platforms like Tableau will be a plus.
Cloud:

Familiarity with Azure cloud technologies.
Familiarity with Azure Databricks and Databricks SQL.
Familiarity with Snowflake Data Cloud will be a plus.
Qualifications

Education: University degree in computer science or related field or relevant experience
Professional experience of 2 – 9 Yrs
Proven track record of experience working in data engineering domain.
Strong experience defining ETL processes.
Experience with data modeling and data visualization concepts and tools.
Knowledge of Software Design under Agile frameworks (Scrum, Kanban, SAFe, …).
Proven experience on design and maintaining applications using Scala, (Py)Spark, MAPR distribution, Hadoop ecosystem, Kafka, Impala.
Hands-on experience on Microsoft Azure, Databricks.
Other:

Good English verbal and written communication skills
Strong team player with collaborative mindset
Excellent problem-solving and analytical skills.
Fast, thorough, and autonomous learner who also understands prioritization
Innovative thinker
Ability to maintain a proactive and positive attitude in a fast paced, changing environment
Thrives in a multi-cultural, global organization
Open-minded, should be able to adapt to working in a multi-cultural team atmosphere
Flexible to adapt to changing project needs driven by the customers
Ability to think out of the box, develop tools to enhance productivity