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.
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