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Sr Data Engineer CoreStack
1 month ago
CoreStack provides a NextGen Cloud Governance platform that empowers enterprises to increase top-line revenues and gain a competitive edge through AI-powered real-time cloud governance on autopilot.
CoreStack is successfully deployed with companies across multiple industries such as Healthcare, Financial Services, Retail, Education, Technology, and Government. CoreStack has a stellar leadership team, creative investors, and backed by industry-leading advisors. Gartner recognized CoreStack in the 2020 Cloud Computing Platforms Magic Quadrant. CoreStack is also a recent recipient of the 2021 Gold Stevie American Business Awards in the Cloud Infrastructure category and 2021 Gold Globee Winner of the Most Innovative Company of the Year in IT Cloud/SaaS, Tech Ascension Award 2022, CoreStack Wins DataCloud Global Award 2022 and 19th Annual 2023 Silver Globee Winner Cybersecurity Awards.
CoreStack is seeking a highly skilled and experienced Senior Data Engineer with a minimum of 5 years of experience in data engineering, with expertise in SQL, PowerBI, and paginated reports. You will be responsible for building and maintaining robust data models, optimizing data pipelines, and providing insights through visualization tools.
Key Responsibilities
Designing, developing, and maintaining data pipelines to ensure efficient data flow and storage
Building and optimizing SQL queries for data extraction, transformation, and loading (ETL) processes
Creating and maintaining data models that support business requirements and enable accurate reporting and analysis
Developing paginated reports using PowerBI or similar tools to present insights in a clear and actionable format
Collaborating with cross-functional teams to understand data needs and develop solutions that drive business outcomes
Identifying and resolving data quality issues to ensure the accuracy and reliability of data
Staying updated with industry trends and best practices in data engineering and analytics
Qualifications
Bachelors degree in computer science, Engineering, or related field. Master's degree preferred
Minimum of 5 years of experience in data engineering, with a focus on building data models and ETL processes
Proficiency in SQL with experience in complex query optimization and performance tuning
Strong experience with PowerBI or similar data visualization tools, including the creation of paginated reports
Solid understanding of data warehousing concepts and methodologies
Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark) is a plus
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills, with the ability to work effectively in a team environment
Location
Chennai, India
Years of Experience
5
Work Type
Full Time
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