am - data engineer in chennai

randstad india
position type
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chennai, tamil nadu
position type
5 8
reference number
randstad india

job description

am - data engineer in chennai

Job Overview:

We are looking for a Data Engineer for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The Data Engineer will be able to support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibilities for Data Engineer:

- 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.

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

- 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.

Qualifications for Data Engineer:

- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

- Experience building and optimizing - big data- data pipelines, architectures, and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable - big data- data stores.

- Educational qualification: Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Experience using the following software/tools:

- 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 object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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SQL, Data Architecture, BI tools, Data pipelining