Sisna Technology | Jobs | Senior Data Engineer – Hadoop/Spark/Kafka | BigDataKB.com | 30-03-22

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Job Location: Chennai

Job Description :

Role expectations :

– Outstanding collaboration and communication skills are essential

– Logical thinking

– Keen attention to detail

– Document application process for future maintenance and upgrades

Project Responsibility :

– Create and maintain optimal data pipeline architecture

– Assemble large, complex data sets that meet functional non-functional business requirements.

– Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

– Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

– Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

– Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

– Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

– Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

– Work with data and analytics experts to strive for greater functionality in our data systems.

Qualification :

– Bachelor’s degree in Computer Science, Information Systems or equivalent education or work Experience

– 6-10 years of experience in a Data Engineer role with expertise in Cloud, python, ETL, SQL, Power BI

– Experience in Power BI, Dax and M queries will be an added advantage.

– Experience with big data tools: Hadoop, Spark, Kafka, etc.

– Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

– Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

– Experience with AWS cloud services: EC2, EMR, RDS, Redshift

– Experience with stream-processing systems: Storm, Spark-Streaming, etc.

– Experience with object-orientedobject function scripting languages: Python, Java, C++, Scala, etc.

Apply Here

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