106 Synapse Analytics Jobs - Page 5

We are looking for a highly skilled and experienced Azure Data Engineer with 2 to 7 years of experience to join our team. The ideal candidate will have expertise in Azure Synapse Analytics, PySpark, Azure Data Factory, ADLS Gen2, SQL DW, T-SQL, and other relevant technologies. ### Roles and Responsibilities Design, develop, and implement data pipelines using Azure Data Factory or Azure Synapse Analytics. Develop and maintain data warehouses or data lakes using various tools and technologies. Build workflows and pipelines in Azure Synapse Analytics to support business intelligence and analytics. Collaborate with cross-functional teams to identify and prioritize project requirements. Ensure data quality and integrity by implementing data validation and testing procedures. Troubleshoot and resolve technical issues related to data engineering and analytics. ### Job Requirements Hands-on experience in Azure Data Factory or Azure Synapse Analytics is required. Experience in handling data in datastores such as Azure SQL, T-SQL, and SQL DW is necessary. Ability to work with various types of data sources including flat files, JSON, and databases. Strong analytical, interpersonal, and collaboration skills are essential. Fair knowledge of Spark, Python, and DWH concepts is expected. Experience in CI/CD and build automations for deployment is preferred.

ROLES AND RESPONSIBILITIES: •Serve as the primary contact for customer issues via ticketing systems, email, or phone. •Troubleshoot and resolve technical issues, escalating when necessary. • Analyze logs, reproduce issues, and perform root cause analysis. • Collaborate with relevant stakeholder to resolve bugs and deploy fixes. • Write SQL queries and perform API testing for data and integration support. • Support deployments in staging/production environments. • Maintain documentation and mentor junior team members. DESIRED SKILLS: •Bachelors degree in computer science, Information Technology, or a related field • Candidate with 1 to 2 years IT experience of Software Support. •Strong working knowledge of Windows and/or Linux operating systems. Strong working knowledge of Windows and/or Linux operating systems. • Basic scripting or programming skills (e.g., Python or similar). • Basic scripting or programming skills (e.g., Python or similar). • Basic of SQL as well. • Familiarity with REST APIs, JSON, and tools like Postman or equivalent. • Solid understanding of issue tracking/ticketing systems such as Jira or ServiceNow. • Strong analytical and communication skills with a customer-first approach. • Familiarity with QLIK or similar business intelligence tools. • Knowledge of Azure Databricks and Synapse is an added advantage. Just the high level. COMMUNICATION: • Excellent communication and interpersonal skills. CERTIFICATIONS: • Experience with ETL tools and processes. •ITIL Foundation certification or equivalent EDUCATION: 15 Years full time education WORK LOCATION: • Raipur (Chhattisgarh) • Willing to travel on short-term to client locations WORKING HOURS: • Due to the nature of the work, you may be expected to work shifts or be on call and it may be necessary to work extra hours to finish a job. • Rotational shift of 9 hours. Timing - 8 AM to 5 PM, 4 PM to 12 AM and 12 AM to 9 AM.

Strong hands-on experience with Azure Databricks, PySpark, and ADF Advanced expertise in Azure SQL DB, Synapse Analytics, and Azure Data Lake Familiar with Azure Analysis Services, Azure SQL, and CI/CD (Azure DevOps) Proficient in data modeling, SQL Server best practices, and BI/Data Warehousing architecture Agile methodologies: ADO, Scrum, Kanban, Lean Collaborate with business/technical teams to design scalable data solutions Architect and implement data pipelines and models Provide technical leadership, code reviews, and best practice guidance Support end-to-end lifecycle: estimation, design, development, deployment Risk/issue management and solution recommendation. Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

5+ Years of Data and Analytics experience with minimum 3 years in Azure Cloud Excellent communication and interpersonal skills. Extensive experience in Azure stack ADLS, Azure SQL DB, Azure Data Factory, Azure Data bricks, Azure Synapse, Cosmo DB, Analysis Services, Event Hub etc.. Experience in job scheduling using Oozie or Airflow or any other ETL scheduler Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala. Good experience in designing & delivering data analytics solutions using Azure Cloud native services. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design Documentation of solutions (e.g. data models, configurations, and setup). Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies. Experienced in internal as well as external stakeholder management Experience in MDM / DQM / Data Governance technologies like Collibra, Atacama, Alation, Reltio will be added advantage. Azure Data Engineer or Azure Solution Architect certification will be added advantage. Nice to have skills: Working experience with Snowflake, Databricks, Open source stack like Hadoop Bigdata, Pyspark, Scala, Python, Hive etc.

Job Overview: We are seeking a highly skilled and motivated Cloud Developer with strong expertise in Terraform and Python, and a solid understanding of Azure and AWS cloud platforms. The ideal candidate will possess hands-on experience in Azure infrastructure automation, a deep understanding of multi-cloud environments, and a strong background in infrastructure as code (IaC) and DevOps best practices. Key Responsibilities: • Design, implement, and manage cloud infrastructure using Terraform on Azure (and AWS where required). • Automate and orchestrate Azure infrastructure components with a focus on scalability, security, and cost optimization. • Leverage Azure Data Services such as Data Factory, Synapse, and Databricks for cloud data platform tasks. • Optimize and manage database workloads with SQL/PLSQL and query optimization techniques. • Implement and maintain CI/CD pipelines using tools such as Azure DevOps and GitHub Actions. • Manage and support multi-cloud environments, ensuring seamless operations and integration. • Troubleshoot infrastructure and application issues across cloud platforms with effective scripting and automation. • Drive adoption of IaC practices and contribute to continuous improvement of DevOps workflows. Required Skills & Qualifications: • Strong proficiency in Terraform and Python. • Proven experience with Azure infrastructure automation. • Solid knowledge of Azure and AWS cloud platforms. • Hands-on experience with Azure Data Services (Data Factory, Synapse, Databricks) preferred. • Proficiency in SQL/PLSQL, query optimization, and cloud database environments. • Familiarity with CI/CD tools preferably Azure DevOps and GitHub Actions. • Experience managing multi-cloud environments. • Strong scripting and troubleshooting skills. Experience 5 to 7 years & relevant experience 4+ years . • Demonstrated experience with Infrastructure as Code (IaC) and DevOps best practices. Preferred Qualifications: • Azure or AWS certifications (e.g., AZ-104, AZ-400, AWS Certified DevOps Engineer). • Experience working in Agile/Scrum environments. Exposure to monitoring and logging tools.

We're Hiring: Senior Data Engineer / Data Architect (Azure Synapse Focus) Remote | Max 30 Days Notice Period Were looking for a skilled Senior Data Engineer / Data Architect to design and build scalable, secure, and modern data platforms with a strong emphasis on Azure Synapse SQL Data Warehouse (Dedicated Pool) and enterprise data warehousing . If you're passionate about shaping data strategies and building future-ready data ecosystems—this is your chance to make an impact! What You’ll Do Design and implement robust data warehouses, lakes, and pipelines using Azure Synapse (Dedicated Pool) Collaborate with stakeholders to build end-to-end data architecture supporting analytics and BI Ensure high performance, scalability, and cost-efficiency of data solutions Define and enforce data governance, quality, and security best practices Contribute to infrastructure setup using DevOps and CI/CD tools What We’re Looking For 8+ years of experience in data engineering and data architecture Strong hands-on expertise in Azure Synapse Analytics (Dedicated SQL Pool) Solid understanding of data warehousing , dimensional modeling, and performance tuning Experience with core Azure services: Data Lake, Databricks, Active Directory Working knowledge of DevOps practices and tools Nice to Have Basic experience with PySpark for data transformations Familiarity with Databricks and Power BI