Job Overview
We are looking for a Data Engineer who will be part of our Analytics Practice and will be expected to actively work in
a multi-disciplinary fast paced environment. This role requires a broad range of skills and the ability to step into
different roles depending on the size and scope of the project; its primary responsibility is the acquisition,
transformation, loading and processing of data by developing Data Pipelines using Azure Services like Azure Data
Factory, etc.
Responsibilities:
Engineer a modern data pipeline to collect, organize, and process data from disparate sources as part of
Analytics Product & Solution development
Performs data management tasks, such as conduct data profiling, assess data quality, and write SQL queries to
extract and integrate data
Develop efficient data collection systems and sound strategies for getting quality data from different sources
Consume and analyze data from the data pool to support inference, prediction and recommendation of
actionable insights to support business growth.
Design and develop ETL processes using tools and scripting. Troubleshoot and debug ETL processes.
Performance tuning and opitimization of the ETL processes.
Provide support to new or existing products / applications while recommending best practices and leading
projects to implement new functionality.
Collaborate in design reviews and code reviews to ensure standards are met. Recommend new standards for
visualizations.
Learn and develop new ETL techniques as required to keep up with the contemporary technologies.
Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of
resources and integration of multiple systems and technology.
Support presentations to Customers and Partners
Advising on new technology trends and possible adoption to maintain competitive advantage
Experience Needed:
7+ years of related experience is required.
B.E. / B.Tech / M.Tech in Computer Science or related technical discipline is required
Must have demonstrated development experience on MS Azure Cloud
ETL experience with data integration to support data marts, extracts and reporting
Experience connecting to varied data sources
Excellent SQL coding experience with performance optimization for data queries.
Understands different data models like normalized, de-normalied, stars, and snowflake models. Worked with
transactional, temporal, time series, and structured and unstructured data.
Worked in big data environments, cloud data stores, different RDBMS and OLAP solutions.
Experience in cloud-based ETL development processes.
Experience in deployment and maintenance of ETL Jobs.
Project Type:Ongoing project