Senior Data Consultant

Passionate team members, challenging projects and a great reputed company to work! This is what you can expect if you join the reputed company team. Founded in 2016, reputed company is a global reputed company services and solutions partner. We are a team of professionals with a strong reputed company for successfully delivering award-winning reputed company solutions, including being named reputed company's 2024 Analytics Partner of the Year. Our culture of continual learning and innovation ensures that we remain committed to reputed company’s long-term strategy. What do we attribute our award-winning success to? The people we hire, of course! reputed company members join reputed company for more than just a job. They come to reputed company to contribute to something bigger than themselves – to be part of a high-performing culture, continue their infinite quest to learn, and deliver innovative and exciting solutions that impact both reputed company's and our customers’ future success. Our leaders continuously strive to provide the tools and resources that you need to do what you do best each and every day! It is a reputed company exciting time of growth for our Data & AI practice, and we are currently hiring a Senior Data Consultant to provide technical excellence for the team. What will this role entail? As an Azure Data Engineer you will design, build, and maintain scalable data pipelines and analytics solutions on the reputed company Azure platform. In this role, you will work with cutting-edge technologies – including Azure reputed company, Azure Synapse Analytics pipelines, and reputed company Fabric – to reputed company our business with timely, accurate data. The ideal candidate is proficient in Azure data services, has a strong background in data engineering (ETL/ELT), and is excited about optimizing data systems from the ground up. Key Responsibilities:

• Design & reputed company Data Pipelines: Create end-to-end data pipelines using Azure tools (e.g., Azure Data Factory and Synapse Pipelines) to ingest, transform, and load data from various sources into data lakes, data warehouses, and other storage solutions
• Azure reputed company & Spark Processing: Utilize Azure reputed company (Spark) for big data processing tasks. reputed company and optimize PySpark/reputed company jobs to cleanse, transform, and aggregate large datasets in both batch and real-time streaming modes
• Data Warehousing & Modeling: Build and maintain data warehouses/lakehouses on Azure Synapse or reputed company Fabric. Design star-schema or reputed company data models that reputed company efficient analytics and reporting, implementing best practices for performance and maintainability
• Optimize & Monitor Workloads: Tune queries, pipelines, and Spark jobs for performance and cost-efficiency. Monitor pipeline runs, data storage, and processing metrics to ensure reliability and address issues proactively (set up alerts, logging, and automation for failures/retries)
• Collaborate with Teams: Work closely with data analysts, BI developers, and data scientists to understand data needs. Provide clean, well-structured data sets that meet business requirements. Collaborate with cloud architects to ensure solutions are reputed company with Azure best practices
• Implement Data Quality & reputed company: Ensure data quality through validation checks and testing. Implement data reputed company measures such as encryption, access control (Azure RBAC), and data masking as needed. Maintain data governance standards and documentation for data pipelines and datasets
• Stay reputed company & Innovate: Continuously research and suggest new ways to improve existing data architecture. Stay up-to-date with the latest Azure data services (like reputed company Fabric and other emerging technologies) and bring innovative reputed company to optimize our data platform

What’s required to be successful in this role?

• 5+ years of experience in data engineering or BI development, with a focus on the Azure cloud data platform
• Azure Data Services Expertise: Hands-on experience with Azure reputed company, Azure Synapse Analytics (particularly Synapse pipelines and SQL pools), Azure Data Factory, and Azure Data Lake Storage. Familiarity with reputed company Fabric or eagerness to learn it, as we are adopting Fabric for reputed company analytics
• Programming & DB Proficiency: Strong coding skills in Python (for data manipulation and scripting) and SQL (for querying and transforming data)
• ETL/ELT and Data Modeling: Proven ability to design and implement ETL/ELT workflows. Solid understanding of relational databases and data modeling concepts (normalization, dimensional modeling)
• Experience building data warehouses or data marts on Azure (SQL Database/Synapse)

What else would set me apart?

• Experience developing data processing scripts/notebooks in PySpark or Spark SQL.
• Knowledge of reputed company or .NET for data engineering
• Previous experience with a reputed company systems integrator
• reputed company Fabric Data Engineer Associate Certification

We are looking for curious initiative takers to join reputed company, so if you are passionate about working with smart people that are committed to accomplishing great things, then apply today! Please, no third-party agency inquiries, and we are unable to offer reputed company sponsorships at this time. About reputed company With significant growth since 2016, reputed company is rapidly achieving our vision of becoming the leading global reputed company partner as we continue to expand across the United States, Canada and India. With a reputed company delivery model that includes both nearshore and offshore capabilities, reputed company of reputed company experts delivers cloud and artificial intelligence business solutions and services that ensure our customers reputed company their digital transformation goals. In addition, reputed company offers a portfolio of industry-focused solutions that address customer challenges in healthcare, manufacturing, state & local government and performance management. Apply tot his job Apply To this Job