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Senior Data Engineer - Azure Data Factory and SQL
UPS
Chennai•On-site•3-5 Yrs•1 hour ago
Job description
Overview
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Responsibilities
- Contributes to data engineering projects and builds solutions by leveraging a foundational knowledge in software/application development, literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines.
- Collaborates effectively, produces data engineering documentation, gathers requirements, organizes data and defines the scope of a project.
- Performs data analysis and presents findings to the stakeholders to support business needs.
- Participates in the integration of data for data engineering projects.
- Understands and utilizes analytic reporting tools and technologies.
- Assists with data engineering maintenance and support.
- Assists in defining the data interconnections between organizations’ operational and business functions.
- Assists in backup and recovery and utilizes technology solutions to perform POC analysis.
Qualifications
- Understanding of database systems and data warehousing solutions.
- Understanding of data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility
- Understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, real-time predictions, insights and customer feedback, data security, data regulations, and compliance.
- Contributes to the following: Building a data platform, ensuring data is secure in motion and at rest, automating data compliance and auditing, data warehousing solutions for scalable analytics.
- Familiarity with analytics reporting technologies and environments – (e.g., PBI, Looker, Qlik, etc.)
- Basic knowledge of algorithms and data structures to assist in understanding the big picture of the organization’s overall data function. Knowledge in data filtering and data optimization.
- Familiarity with a Cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages.
- Understanding ETL tools capabilities. Ability to pull data from various sources, perform a load of the transformed data into a database or business intelligence platform.
- Familiarity with Machine learning algorithms which help data scientists make predictions based on current and historical data.
- Knowledge of algorithms and data structures with the ability to organize the data for reporting, analytics, and data mining and perform data filtering and data optimization.
- Ability to build data APIs to enable data scientists and business intelligence analysts to query the data.
- Ability to code using programming language used for statistical analysis and modeling such as Python/Java/Scala/C++.
- Understanding the basics of distributed systems.
- A Bachelor’s degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience.