Data Engineer

Responsibilities :-

Familiarity with development tools - experience on either IntelliJ / Eclipse / VSCode IDE, Build Tool Maven

Analyze and organize raw data.

Build data systems and pipelines.

Conduct complex data analysis and report on results.

Build algorithms and prototypes.

You will be involved in the design of data solutions using Hadoop based technologies along with Hadoop, Azure, HDInsights for Cloudera based Data Late using Scala Programming.

Responsible to Ingest data from files, streams and databases. Process the data with

Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems

Develop efficient software code for multiple use cases leveraging Python and Big Data technologies for various use cases built on the platform

Evaluate business needs and objectives.

Interpret trends and patterns.

Provide high operational excellence guaranteeing high availability and platform stability

Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Pyspark, Kafka, any Cloud computing etc.

Hadoop, Scala, SQL Database, Spark, ML, IoT

Develop programs in Scala and Python as part of data cleaning and processing

Required Technical and Professional Expertise :-

Mandatory experience in Mid to Expert Level programming capabilities in a large-scale enterprise

In-depth experience in modern data platform components such as the Hadoop, Hive, Pig, Spark, Python, Scala, etc

Experience with Distributed Versioning Control environments such as GIT

Proficient in any of the programming languages â Python, Scala or Java

Prepare data for prescriptive and predictive modeling.

Demonstrated experience in modern API platform design including how modern UIâs are built consuming services / APIs.

Experience on Azure cloud including Data Factory, Databricks, Data Lake Storage is highly preferred

Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.

Preferred Technical And Professional Expertise :-

Proven interpersonal skills while contributing to team effort by accomplishing related results as needed

Up-to-date technical knowledge by attending educational workshops, reviewing publications

DP 200, DP 201, DP 203, AZ 204 - Data Engineering

You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies

AZ 400 - Devops Certification

Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work

AZ 900 - Azure Fundamentals

Intuitive individual with an ability to manage change and proven time management