104 Synapse Jobs - Page 5

About The Role Overview Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping peoples careers and being thoughtful about employee wellbeing. Boeing India Software Engineering team is currently looking for one Lead Software Engineer Developer to join their team in Bengaluru, KA. As a ETL Developer , you will be part of the Application Solutions team, which develops software applications and Digital products that create direct value to its customers. We provide re-vamped work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest in software technologies for modern web and mobile application development. Through our products we deliver innovative solutions to our global customer base at an accelerated pace. Position Responsibilities: Perform data mining and collection procedures. Ensure data quality and integrity, Interpret and analyze data problems. Visualize data and create reports. Experiments with new models and techniques Determines how data can be used to achieve customer / user goals. Designs data modeling processes Create algorithms and predictive models to for analysis. Enables development of prediction engines, pattern detection analysis, and optimization algorithms, etc. Develops guidance for analytics-based wireframes. Organizes and conducts data assessments. Discovers insights from structured and unstructured data. Estimate user stories/features (story point estimation) and tasks in hours with the required level of accuracy and commit them as part of Sprint Planning. Contributes to the backlog grooming meetings by promptly asking relevant questions to ensure requirements achieve the right level of DOR. Raise any impediments/risks (technical/operational/personal) they come across and approaches Scrum Master/Technical Architect/PO accordingly to arrive at a solution. Update the status and the remaining efforts for their tasks on a daily basis. Ensures change requests are treated correctly and tracked in the system, impact analysis done, and risks/timelines are appropriately communicated. Hands-on experience in understanding aerospace domain specific data Must coordinate with data scientists in data preparation, exploration and making data ready. Must have clear understanding of defining data products and monetizing. Must have experience in building self-service capabilities to users. Build quality checks across the data lineage and responsible in designing and implementing different data patterns. Can influence different stakeholders for funding and building the vision of the product in terms of usage, productivity, and scalability of the solutions. Build impactful or outcome-based solutions/products. Basic Qualifications (Required Skills/Experience): Bachelors or masters degree as BASIC QUALIFICATION 12-15 years of experience as a data engineer. Expertise in SQL, Python, Knowledge of Java, Oracle, R, Data modeling, Power BI. Experience in understanding and interacting with multiple data formats. Ability to rapidly learn and understand software from source code. Expertise in understanding, analyzing & optimizing large, complicated SQL statements Strong knowledge and experience in SQL Server, database design and ETL queries. Develop software models to simulate real world problems to help operational leaders understand on which variables to focus. Candidate should have proficiency to streamline and optimize databases for efficient and consistent data consumption. Strong understanding of Datawarehouse concepts, data lake, data mesh Familiar with ETL tools and Data ingestion patterns Hands on experience in building data pipelines using GCP. Hands on experience in writing complex SQL (No- SQL is a big plus) Hands on experience with data pipeline orchestration tools such as Airflow/GCP Composer Hands on experience on Data Modelling Experience in leading teams with diversity Experience in performance tuning of large datawarehouse/datalakes. Exposure to prompt engineering, LLMs, and vector DB. Python, SQL and Pyspark Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse) Preferred Qualifications [Required Skills/Experience] PubSUB, Terraform Deep Learning - Tensor flow Time series, BI/Visualization Tools - Power BI and Tablaeu, Languages - R/Phython Deep Learning - Tensor flow Machine Learning NLP Typical Education & Experience Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 12 to 15 years' related work experience or an equivalent combination of education and experience (e.g. Master+11 years of related work experience etc.) Relocation This position does offer relocation within INDIA. Export Control Requirements This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India)

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 Yrs - 18 Yrs Location- Pan India Job Description : - Experience in Synapase with pyspark Knowledge of Big Data pipelinesData Engineering Working Knowledge on MSBI stack on Azure Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage Handson in Visualization like PowerBI Implement endend data pipelines using cosmosAzure Data factory Should have good analytical thinking and Problem solving Good communication and coordination skills Able to work as Individual contributor Requirement Analysis CreateMaintain and Enhance Big Data Pipeline Daily status reporting interacting with Leads Version controlADOGIT CICD Marketing Campaign experiences Data Platform Product telemetry Analytical thinking Data Validation of the new streams Data quality check of the new streams Monitoring of data pipeline created in Azure Data factory updating the Tech spec and wiki page for each implementation of pipeline Updating ADO on daily basis If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 Yrs - 18 Yrs Location- Pan India Job Description : - Mandatory Skill: Azure ADB with Azure Data Lake Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards Ensure best practices are followed in terms of code quality data security and scalability Stay updated with the latest developments in Databricks and associated technologies to drive innovation Essential Skills Strong experience with Azure Databricks including cluster management notebook development and Delta Lake Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Experience with ETLELT processes data warehousing and building data lakes Strong SQL skills and familiarity with NoSQL databases Experience with CICD pipelines and version control systems like Git Knowledge of cloud security best practices Soft Skills Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders Strong problemsolving skills and a proactive approach to identifying and resolving issues Leadership skills with the ability to manage and mentor a team of data engineers Experience Demonstrated expertise of 8 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory Solid understanding and handson experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2 Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation Proficiency in building and optimizing query layers using Databricks SQL Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for endtoend analytics solutions Prior experience in developing optimizing and deploying Power BI reports Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Design, develop, and maintain scalable ETL pipelines, data lakes, and hosting solutions using Azure tools. Ensure data quality, performance optimization, and compliance across hybrid and cloud environments. Required Candidate profile Data engineer with experience in Azure data services, ETL workflows, scripting, and data modeling. Strong collaboration with analytics teams and hands-on pipeline deployment using best practices