Posted:3 months ago|
Platform:
Work from Office
Full Time
Location : Chennai/Bangalore/Noida/Pune/Hyderabad Analyzing large volumes of data, clean and represent them in Dashboards, Reports Designing and optimizing data storage solutions, including data warehouses and data lakes. Ensuring data quality and integrity through data validation, cleansing, and error handling. Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). Keeping abreast of industry trends and emerging technologies in data analytics. Documenting data pipelines, processes, and best practices for knowledge sharing. Participating in data governance and compliance efforts to meet regulatory requirements. Providing technical support and mentoring to junior data engineers, if applicable. Continuously optimizing data architecture to support the company's evolving data needs. Collaborating with cross-functional teams to drive data-driven decision-making within the organization. Strong communication skills and ability to translate complex technical topics to senior stakeholders. Excellent knowledge of cloud computing technologies and current computing trends. Understanding of and experience with well-architected frameworks. Proven ability to collaborative with multi-disciplinary teams of Product Managers/Owners, Architects, Scrum masters and Subject Matter Experts Desired Azure,AWS and/or GCP Architect certifications and proven hands-on experience Bachelors degree in computer engineering, or equivalent with extensive practical experience. Specific Skills: Proficiency in Data Analytics tools such as GCP BigQuery, Looker / powerBI dashboards Proficiency in processing huge volumes of data, building statistical models Proficiency in data modeling and database management. Strong programming skills (e.g., Python, Java, or SQL). Experience with ETL (Extract, Transform, Load) processes. Familiarity with data warehousing and cloud platforms (e.g., AWS, Azure, or Google Cloud). Degrees in computer science or related field
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