13457 Etl Jobs - Page 49

We are looking for a Azure Data Engineer with a driving passion to ensure that our customers have the most pleasant experience using our platform.This position will directly contribute to the WoW customer experience by consistently delivering the best quality of work. Our ideal candidate enjoys a work environment that requires strong problem solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication. Title: Azure Data Enginee rLocation: Remote Shift: 2:00 PM-11: 00 PM IS T Please note : This is pure Azure specific role, if your expertise is into AWS/GCP. Please avoid to apply for this rol e. Key Responsibilit iesDesign and implement robust data pipelines usi ng Azure Data Fact ory, ensuring seamless data flow across enterprise syste ms.Le ad data migrat ion initiatives, translating complex business requirements into efficient and scalable ETL process es.Architect and optimi ze Azure Data L ake solutions to support scalable storage and advanced analytics for big data workloa ds.Develop high-performan ce data transformation scri pts usi ng Pyt hon a nd PySp ark, enhancing data processing efficien cy.Write compl ex SQL quer ies and stored procedures to extract actionable insights from diverse data sourc es.Troubleshoot data integration issues and optimize system performance using advanc ed problem-solv ing techniqu es.Collaborate with cross-functional teams to align data engineering solutions with business objectives, demonstrating strong ownership and communication skil ls.Stay up to date with emergi ng Azure technolog ies and implement innovative solutions, embodying a continuous learning minds et.Deliver data-driven insights through innovati ve data model ing techniques to support informed decision-maki ng.Mentor junior engine ers, promoting a culture of excellence and continuous improvement in data engineering practic es.Foundational Ski llsAzure Data Fact ory: Proven expertise in designing, implementing, and managing scalable data integration workflo ws.Data Migrat ion: Successful track record in planning and executing large-scale migrations with a focus on data integrity and minimal downti me.Azure Data L ake: Deep understanding of architecture and best practices for scalable data storage and processi ng.Pyt hon: Strong programming skills for data manipulation, automation, and engineering workflo ws.PySp ark: Hands-on experience in distributed data processing for efficient big data handli ng. SQL: Advanced skills in query writing, data manipulation, and performance tuning across multiple database platfor ms.Analytical Think ing: Exceptional ability to resolve complex engineering challenges with scalable, efficient solutio ns. About Techolut ion:Techolution is a leading innovation consulting company on track to become one of the most admired brands in the world for "innovation done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better h umanexperience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI. In 2019, we won the prestigious Inc. 500 Fastest-Growing Companies in America award, only 4 years after its formation. In 2022, Techolution was honored with the “Best-in-Business” title by Inc. for “Innovation Done Right”. Most recently, we received the “AIConics” trophy for being the Top AI Solution Provider of the Year at the AI Summit in New Y ork.Let’s give you more insig hts!One of our amazing products with Artificial Intellige nce:1. https://faceopen.co m / : Our proprietary and powerful AI Powered user identification system which is built on artificial intelligence technologies such as image recognition, deep neural networks, and robotic process automation. (No more touching keys, badges or fingerprint scanners ever aga in!)Some videos you wanna wa tch!Life at Techolu tionGoogleNext 2023Ai4 - Artificial Intelligence Conferences 2023WaWa - Solving Food Wast age Saving lives - Brooklyn Hosp italInnovation Done Right on Google C loudTecholution featured on Worldwide Business with KathyIre landTecholution presented by ION World’s Grea test Visi t us @www.techolutio n.c om : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with techno logy. Show more Show less

Dear Candidate, Please find the below JD for your reference. Experience of leading production support teams across multiple applications. Experience with ASP.NET, C#, .NET core, SQL, Azure DevOps and App Insights is a must. Should have good knowledge of ETL, Angular, DB monitoring, script optimization, app monitoring & alerting tools. Experience of working with SNOW ticketing tool and handling change requests. Experience of handling end to end change management and supporting app releases in collaboration with other Project teams. Good communication and willingness to skill up with new tools, automation frameworks and tech to better support & monitor apps. Work in rotational shifts, rostering of team members shifts and support team with Technical & Functional aspects. Show more Show less

job description: 5 to 10 years of experience in relevant areas At least 3+ years of working knowledge in Python At least 2+ years of hands - on experience in data testing ETL Testing At least 2+ years of hands-on experience in Database like MYSQL,SQL Server, Oracle Must be well versed with Agile Methodology Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth Responsibilities & Qualifications Data Architecture Design: Develop and implement scalable and efficient data architectures for batch and real-time data processing.Design and optimize data lakes, warehouses, and marts to support analytical and operational use cases. ETL/ELT Pipelines: Build and maintain robust ETL/ELT pipelines to extract, transform, and load data from diverse sources.Ensure pipelines are highly performant, secure, and resilient to handle large volumes of structured and semi-structured data. Data Quality and Governance: Establish data quality checks, monitoring systems, and governance practices to ensure the integrity, consistency, and security of data assets. Implement data cataloging and lineage tracking for enterprise-wide data transparency. Collaboration with Teams:Work closely with data scientists and analysts to provide accessible, well-structured datasets for model development and reporting. Partner with software engineering teams to integrate data pipelines into applications and services. Cloud Data Solutions: Architect and deploy cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging services such as S3, BigQuery, Redshift, or Snowflake. Optimize cloud infrastructure costs while maintaining high performance. Data Automation and Workflow Orchestration: Utilize tools like Apache Airflow, n8n, or similar platforms to automate workflows and schedule recurring data jobs. Develop monitoring systems to proactively detect and resolve pipeline failures. Innovation and Leadership: Research and implement emerging data technologies and methodologies to improve team productivity and system efficiency. Mentor junior engineers, fostering a culture of excellence and innovation.| Required Skills: Experience: 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines. Technical Skills: Proficiency in Python, Java, or Scala for data engineering tasks. Strong SQL skills for querying and optimizing large datasets. Experience with data processing frameworks like Apache Spark, Beam, or Flink. Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend. Experience in pub sub and stream processing using Kafka/Kinesis or the like Cloud Platforms: Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services. Data Modeling: Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas). Collaboration: Proven ability to work with cross-functional teams and translate business requirements into technical solutions. Preferred Skills: Familiarity with data visualization tools like Tableau or Power BI to support reporting teams. Knowledge of MLOps pipelines and collaboration with data scientists. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google BigQuery Good to have skills : Microsoft SQL Server, Google Cloud Data Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain data pipelines. - Ensure data quality throughout the data lifecycle. - Implement ETL processes for data migration and deployment. - Collaborate with cross-functional teams to understand data requirements. - Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong understanding of data engineering principles. - Experience with cloud-based data services. - Knowledge of SQL and database management systems. - Hands-on experience with data modeling and schema design. Additional Information: - The candidate should have a minimum of 3 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the data architecture aligns with business objectives and supports analytical needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and optimize data pipelines to enhance data processing efficiency. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in ensuring that data is accessible, reliable, and ready for analysis, contributing to informed decision-making within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of data architecture and data models. - Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data lake architectures. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and data governance practices. - Experience with cloud platforms such as AWS or Azure. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bhubaneswar office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Knowledge of cloud data storage solutions and architectures. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Hyderabad. - A 15 years full time education is required. 15 years full time education Show more Show less

Title: Azure Data Engineer Location: Remote Employment type: Full Time with BayOne We’re looking for a skilled and motivated Data Engineer to join our growing team and help us build scalable data pipelines, optimize data platforms, and enable real-time analytics. What You'll Do Design, develop, and maintain robust data pipelines using tools like Databricks, PySpark, SQL, Fabric, and Azure Data Factory Collaborate with data scientists, analysts, and business teams to ensure data is accessible, clean, and actionable Work on modern data lakehouse architectures and contribute to data governance and quality frameworks Tech Stack Azure | Databricks | PySpark | SQL What We’re Looking For 3+ years experience in data engineering or analytics engineering Hands-on with cloud data platforms and large-scale data processing Strong problem-solving mindset and a passion for clean, efficient data design Job Description: Min 3 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is preferred over other cloud platforms. 5 years of proven experience with SQL, schema design and dimensional data modelling Solid knowledge of data warehouse best practices, development standards and methodologies Experience with ETL/ELT tools like ADF, Informatica, Talend etc., and data warehousing technologies like Azure Synapse, Microsoft Fabric, Azure SQL, Amazon redshift, Snowflake, Google Big Query etc. Strong experience with big data tools (Databricks, Spark etc..) and programming skills in PySpark and Spark SQL. Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment. Excellent communication and teamwork abilities. Nice-to-Have Skills: Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge. SAP ECC /S/4 and Hana knowledge. Intermediate knowledge on Power BI Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description. Show more Show less

We are looking for a skilled and detail-oriented Power BI Developer to join our team. The ideal candidate will have hands-on experience in designing and developing insightful, high-performance dashboards, reports, and KPIs using Microsoft Power BI. You will play a key role in transforming data into valuable business insights and delivering top-tier analytics solutions to stakeholders. Key Responsibilities: Design and develop interactive reports, dashboards, and KPI scorecards using Power BI. Strong UI/UX design skills tailored for executive dashboards Experience in Power BI layout, theming and custom visuals Experience is defining and organizing measures and dimensions to ensure clarity and consistency Ability to create visually appealing, responsive and intuitive dashboards. Experience of migrating dashboards from QlikView to Power BI Build tabular and multidimensional models aligned with data warehouse standards. Develop Analysis Services (SSAS) reporting models. Connect to various data sources, import and transform data using Power Query/M , DAX , and Power BI tools. Implement row-level security and understand application security models within Power BI. Perform advanced DAX calculations for data manipulation and insight generation. Optimize Power BI performance and troubleshoot dashboard/report issues. Translate business needs into data-driven reports and visual storytelling . Ensure data governance, quality, and security best practices. Document design methodology, technical specifications, and project deliverables. Engage with business stakeholders to gather requirements and deliver analytics solutions. Analyze large datasets and present actionable insights to client teams. Mandatory Skills & Experience: 3 + years of experience in Power BI report development and BI roles. Knowledge of other tools like Qlikview and migration to Power BI Strong knowledge of SQL , query performance tuning, and data modelling . Proven experience with Microsoft BI Stack - Power BI, SSAS, SSRS, SSIS. Solid understanding of relational and multidimensional database design . Familiarity with the full Power BI ecosystem: Power BI Premium, Power BI Service, Power BI Server, Power Query , etc. Knowledge of presentation tools and the ability to create executive-level presentations . Strong analytical thinking, problem-solving , and attention to detail. Excellent communication skills for stakeholder interaction and requirements gathering. Comfortable creating reports from wireframes and functional requirements . Strong business acumen and ability to derive insights that incite action. Nice to Have (Preferred): Understanding of ETL processes , data pipeline architecture , and data warehousing on Azure. Experience in distributed systems for data extraction, ingestion, and processing at scale. Soft Skills: Resilient under pressure and deadlines. Proactive, self-driven attitude with strong ownership. Excellent team collaboration and communication. Client-focused mindset with a desire to grow in a dynamic environment. Job Type: Full-time Pay: ₹600,000.00 - ₹1,000,000.00 per year Schedule: Day shift Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Post selection, can you join immediately or within 30 days? Experience: Power BI: 2 years (Required) QlikView: 1 year (Preferred) Work Location: In person

Project Role : Application Architect Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Architect, you will provide functional and/or technical expertise to plan, analyze, define, and support the delivery of future functional and technical capabilities for an application or group of applications. You will also assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of application solutions. - Ensure compliance with architectural standards and guidelines. - Identify opportunities to improve application performance and scalability. - Mentor junior team members to enhance their skills. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of cloud-based data analytics solutions. - Experience in designing and implementing scalable data architectures. - Knowledge of data governance and security best practices. - Hands-on experience with data integration and ETL processes. Additional Information: - The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full-time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the data architecture aligns with business objectives and supports analytical needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of data architecture to support data initiatives. - Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and processes. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Indore office. - A 15 years full time education is required. 15 years full time education Show more Show less

Fabric COE Designation: Assistant Manager - BI & Visualization Experience: 4 to 5 years Location: Chennai, Tamil Nadu, India (CHN) Job Description: Develop, design, and maintain Power BI reports and dashboards to meet business requirements. Implement data cleaning, transformation, and ETL processes to prepare data for reporting and analytics. Design and develop data pipelines for efficient data extraction, transformation, and loading Responsibilities: To lead and own solution development across domain for various industries To solve client problems on visualization and end-to-end analytics To support development and delivery for various Entities based on the need Skills: 4 to 8 years in the BI & Visualization domain Proficient in SQL Programming, Power BI / Power App / Power Automate, Python, Azure | Nice to have Proficient in SQL Programming, Power BI / Power App / Power Automate, Python, Azure | Nice to have, Proficient in SQL Programming Power BI / Power App / Power Automate, Python, Azure | Nice to have Develop, design, and maintain Power BI reports and dashboards to meet business requirements, Implement data cleaning, transformation, and ETL processes to prepare data for reporting and analytics, Design and develop data pipelines for efficient data extraction, transformation, and loading Job Snapshot Updated Date 13-06-2025 Job ID J_3692 Location Chennai, Tamil Nadu, India Experience 4 - 5 Years Employee Type Permanent

Job Advert Internal Job Title: Data & Analytics Development Lead Business: Lucy Electric Location: Halol, Vadodara, Gujarat, #LI-HYBRID Job Reference Number: 4076 Job Purpose Primary point of contact for data engineering, analysis, reporting, and management information from ERP systems and other sources. Maintain and enhance KPIs, metrics, and dashboards delivering actionable insights into business operations to drive continuous improvement. Support multiple business units by enabling comparisons and identifying opportunities for process enhancement. Engage a wide range of stakeholders to lead activities using Microsoft Power Platform, with a focus on Power BI, to ensure business requirements are met. Contribute to the functional roadmap to align data, reporting, AI and analytics capabilities in the short, medium, and long term. Job Context Working closely with the Data & Analytics Solutions Architect and cross-functional teams to ensure a coordinated approach to Business Intelligence delivery in alignment with business priorities and goals Act as the Data Platform Subject Matter Expert to support the team in advancing processes for agile development, metadata definition, business logic coding, data modelling, unit testing and data product delivery in line with the functional roadmap Job Dimensions The role is a hybrid role, with flexible attendance at our office in Vadodara, India, to support business engagement There is an occasional need to visit other sites and business partners at their premises to build stakeholder relationships or to attend specific industry events, globally Key Accountabilities These will include: Analyzing complex data sets to uncover trends, patterns, and actionable insights that drive business effectiveness and operational efficiency Collaborating remotely with cross-functional stakeholders across different countries, to confirm business requirements and translate them into analytical solutions Overseeing the end-to-end data lifecycle, including data collection, cleaning, validation and warehousing, ensuring high data quality and integrity Carrying out agile backlog management (CI/CD) and coordinating design reviews against best practice guidelines, with change control and user acceptance testing (UAT) Collaborating with the wider business to promote appropriate use of data & analytics tools through co-ordinated communications Delivering training and coaching sessions to enhance data literacy and empower business users to make data-driven decisions Leading activities according to the the analytics roadmap – resolving issues, identifying opportunities, and defining clear success metrics Supporting the Solutions Architects to foster a strong data culture and ensuring analytics input is embedded in the evaluation and prioritisation of new initiatives Troubleshooting production issues and coordinating with others to resolve incidents and complete tasks using IT Service Management (ITSM) tools Qualifications, Experience & Skills A bachelor’s degree (or equivalent professional qualifications and experience) in a relevant stream Effective communication skills in the global Business Language, English 5+ years’ experience in a business analytics or data-driven role using BI tools, preferably Power BI/Fabric, with at least 2 years in a leadership capacity demonstrating strong team management skills Capability to de-construct existing reports, validate data, and guide a small team to design and implement BI solutions Good understanding of handling multiple data sources, such MS SQL, Dataverse, M365, Azure data services Familiarity with Microsoft Dynamics 365 applications or equivalent enterprise-level finance, supply chain operations, customer service and sales business software A keen investigative mindset for identifying process improvement opportunities through data analysis, providing recommendations for automation and optimisation Experience in creating well-formed supporting documentation A proactive approach to meet service levels for Business as Usual (BAU) support and Ad-Hoc reporting needs, while working on Projects and Agile Workstreams at the same time A general understanding of a company’s ‘value chain’ and basic manufacturing industry terminology Good to Have Skills: ETL/ELT toolsets, Data Lake / One Lake, DAX, Python, T-SQL, C#, REST APIs Azure DevOps with multistage pipelines, source/version control, GIT Microsoft Power Platform and Fabric Administration Dynamics 365 accreditation or similar ERP functional qualification Data Governance tools and principles General AI understanding, Microsoft Copilot, Machine Learning (ML) frameworks, Near Time and Real Time data processing with large datasets Behavioral Competencies Capable people and performance manager, with excellent communication and interpersonal skills Process change adopter, through positive stakeholder relationship management with internal and external parties Customer-oriented problem solver, with desire to share knowledge and support others, demonstrating active listening and empathy towards their views and concerns Business focused innovative thinker, able to adapt and achieve collaborative outcomes in a global culture, working with remote support teams Lucy Group Ltd is the parent company of all Lucy Group companies. Since its origins in Oxford, UK, over 200 years ago, the Group has grown and diversified. The Group’s businesses help to advance the transition to a carbon-free world with infrastructure that enables renewable energy, electric vehicles, smart city management and sustainable living. Today we employ in excess of 1,600 people worldwide, with operations in the UK, Saudi Arabia, UAE, India, South Africa, Brazil, Thailand, Malaysia, India and East Africa. Lucy Electric is an international leader in intelligent secondary power distribution products and solutions, with remote operation and monitoring. Linking energy generation to consumption, the business specialises in high-performance medium- and low-voltage switchgear for utility, industrial and commercial applications. Key products include Ring Main Units and package substations. Does this sound interesting? We would love to hear from you. Our application process in quick and easy. Apply today!

Principal Software Engineering Manager Hyderabad, Telangana, India Date posted Jun 13, 2025 Job number 1830297 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview The Windows Data Team is responsible for developing and operating one of the world’s largest data eco-systems: PiB data is being processed, stored and accessed every day. In addition to Azure, Fabric, and Microsoft offerings, the team also utilizes modern open-source technologies such as Spark, Starrocks, and ClickHouse. Thousands of developers in Windows, Bing, Ads, Edge, MSN, etc. are working on top of the data products that the team builds. We’re looking for passionate engineers to join us for the mission of powering Microsoft businesses through data substrate and infusing our data capabilities into the industry. We are looking for a Principal Software Engineering Manager who can lead a team to design, develop, and maintain data pipelines and applications using Spark, SQL, map-reduce, and other technologies on our big data platforms. You will work with a team of data scientists, analysts, and engineers to deliver high-quality data solutions that support our business goals and customer needs. You will also collaborate with other teams across the organization to ensure data quality, security, and compliance. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years people management experience. Demonstrate working knowledge of cloud and distributed computing platforms such as Azure or AWS. Strong knowledge and experience with Map Reduce, Spark, Kafka, Synapse, Fabric, or other data processing frameworks. Fluent in English, both written and spoken. Preferred Qualifications: Experience with CosmosDB or other NoSQL databases is a plus. Experience in data engineering, data analysis, or data related fields. Experience with data science and ML tools such as Scikit-learn, R, Azure AI, Pyspark, or similar. Experience with data modeling, data warehousing, and ETL techniques. Experience in designing, developing, and shipping services with secure continuous integration and continuous delivery practices (CI/CD). Relational and/or non-relational (NoSQL) databases. C/C++ and lower-level languages are a plus. #W+Djobs #WindowsIndia #WDXIndia Responsibilities Lead a team of software developers to develop and optimize data pipelines and applications using Spark, Cosmos, Azure, SQL, and other frameworks. Implement data ingestion, transformation, and processing logic using various data sources and formats. Perform data quality checks, testing, and debugging to ensure data accuracy and reliability. Document and maintain data pipeline specifications, code, and best practices. Research and evaluate new data technologies and tools to improve data performance and scalability. Work with world-class engineer/scientist team on Big Data, Analytics and OLAP/OLTP. Embrace both Microsoft technology and cutting-edge open-source technology. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job requisition ID :: 84394 Date: Jun 13, 2025 Location: Delhi Designation: Manager Entity: ETL

Location Bengaluru, Karnataka, India Job ID R-227372 Date posted 13/06/2025 Job Title: Senior Analyst Career Level: D Introduction to role: Are you ready to transform raw data into actionable insights that drive strategic initiatives? As a Data Reporting and Analytics Developer at Alexion, you'll be at the forefront of designing, developing, and maintaining data reporting solutions and analytics platforms. Your expertise will empower data-driven decision-making across the organization. If you have a strong background in data analysis, proficiency in data visualization tools, experience with database management systems, and excellent communication skills, this role is perfect for you! Accountabilities: Support the Alexion team with field force reporting by designing, developing, validating, and maintaining Qlik Sense dashboards and supporting model tiers for various business units and indications. Understand business objectives, data sources, and key performance indicators (KPIs) to design effective solutions. Design and implement data models in QlikSense/Power BI, including ETL processes. Write and optimize SQL code to transform raw data into actionable insights; transform source data into dimensions/factors for dashboards. Integrate data from multiple sources, ensuring accuracy, consistency, and optimal performance. Develop interactive dashboards, reports, and visualizations using Qlik Sense/Power BI. Identify and address performance bottlenecks in Qlik applications; optimize data models, load scripts, and front-end visualizations for fast user experiences. Conduct thorough testing of Qlik/PBI applications to validate data accuracy, functionality, and usability. Collaborate with QA testers and business users to resolve issues promptly. Design intuitive user interfaces for data exploration, analysis, and insight generation. Work closely with cross-functional teams to align Qlik development efforts with organizational goals. Communicate project status, challenges, and recommendations to stakeholders clearly. Instill a culture of continuous improvement, testing, and deployment of new capabilities. Essential Skills/Experience: Advanced understanding/experience with SQL, Snowflake, and Veeva CRM. Ability to create new rules and adjust existing rules. Develop and maintain comprehensive technical documentation for data processes, SQL queries, and workflows. Document changes and updates to data models and reporting structures. Expertise in Power BI or Qlik scripting language + data modeling concepts, including related skills in: Data warehouse Data architecture Data visualization (inclusive of Vizlib extensions) Section access (security) Recent project experience with Qlik/PBI + experience with other BI tools Experience in documenting data processes, data lineage, and reporting frameworks. Desirable Skills/Experience: Background in computer science, information systems, or related field. 6-8 years of experience in developing reporting and visualization applications. Experience in web development (JavaScript and CSS). Excellent analytical and problem-solving skills with keen attention to detail. Ability to work independently and collaboratively in a dynamic environment. Strong communication and interpersonal skills. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca's Alexion division, you'll find an energizing culture where connections are built to explore new ideas that profoundly impact patients' lives. Diversity is valued here, fostering an inclusive environment where life-changing ideas can emerge from anywhere. We celebrate achievements and reward each other while maintaining kindness as a core value alongside our ambition to succeed for those in need. Our commitment extends beyond our work as we take pride in giving back to the communities we serve. Ready to make a difference? Apply now to join our team! AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Senior Professional B1 Category: Supply Chain Location: Bangalore, Karnataka, IN Novo Nordisk Global Business Services (GBS), India Department – Supply Chain Global Business Services (GBS) Are you passionate about Senior Professional B1 with a focus on Supply Chain and/or pharma? Are you ready to take on a new challenge and join our Supply Chain Management team? We are looking for a talented individual to fill the role of Senior Professional B1 in our Global Business Service (GBS) department. If you have a passion for data analysis and a strong understanding of supply chain concepts, then read on and apply today for a life-changing career. Apply Now! The position As a Senior Professional B1 at Novo Nordisk, you will be responsible for Creating and maintaining master data in SAP & Winshuttle according to existing business processes and rules. Handle CR-cases and DV related to the creation of master data. You will be entrusted with the below responsibilities: Create and maintain Bill of Materials (BOM) in SAP individually and in mass. Perform data cleansing to ensure data accuracy and integrity. Create and maintain Standard Operating Procedures (SOPs) and instructions as per Novo Nordisk standards. Manage stakeholders and support operations for new transitions. Adhere to Key Performance Indicators (KPIs) and actively participate in daily stand-up meetings. Qualifications Bachelor’s degree in supply chain management, production, mechanical engineering, or equivalent from a well-recognised institute. 3-5 years of experience within SAP master data, preferably within pharma or supply chain. Experience with master data. Ability to analyse and process data. Good understanding of supply chain concepts (Plan, Make, Source, Deliver, and Return) and the supporting master data. Proficient user of Microsoft Office (Excel, PowerPoint). Experience in automation with advanced Excel and building macros or have ETL knowledge with Informatica/Winshuttle. Experience in conducting meetings with peers, including preparation and facilitation. Knowledge of business rules for processes and attributes within SAP. Excellent communication skills in English, both written and oral. About the department Supply Chain was established in March 2017 as part of Product Supply Devices & Supply Chain Management business plan. The Business plan has three parts; Robust, Ready, Effective and Supply Chain Global Business Service (GBS) is part of the last one focusing business through offshoring. The unit is anchored under Supply Chain Planning (SCP) in Head Quarter and is the agreed place to consolidate Supply Chain activities across Novo Nordisk. The Supply Chain offshoring journey has started in D&S, Service Delivery Catalogue is taking form and other areas within Product Supply can soon join or add to the Catalogue to optimize costs and reduce complexity by operating an effective supply chain. Working at Novo Nordisk Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 63,000 employees around the world. We recognise the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing. Contact To submit your application, please upload your CV online (click on Apply and follow the instructions). Deadline 26th June 2025 Disclaimer It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Novo Nordisk and/or its affiliate companies. The individuals or organisations sending these false employment offers may pose as a Novo Nordisk recruiter or representative and request personal information, purchasing of equipment, or funds to further the recruitment process or offer paid trainings. Be advised that Novo Nordisk does not extend unsolicited employment offers. Furthermore, Novo Nordisk does not charge prospective employees with fees or make requests for funding as a part of the recruitment process. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

- 4+ years of building financial and operational reports/data sets that inform business decision-making experience - 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - CA, CPA,MBA or CWA,B Com with 10+ or more years of post-qualification experience in Accounting / Management reporting and analysis / Forecasting & Budgeting Exceptional leadership and team development skills Strong customer focus - both Internal / External A work ethic based on a strong desire to exceed expectations. Detail-oriented, well-organized. Ability to readily adapt to and lead in a changing environment Preferred qualifications Proven expertise managing, evaluating, analyzing data quickly and creating meaningful business reporting Strong financial acumen, problem solving and decision making skills Proven ability to independently manage competing priorities and meet deadlines Proven ability to influence decisions through effective verbal and written communication Retail industry experience Experience using Cognos, SQL, Oracle Financial Applications Our inclusive culture empowers Amazonians to deliver the best results for our customers. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, creative and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Finance is all about the numbers, unless you work at Amazon; it is about knowing the numbers and so much more. As finance leaders, we’re not just a reporting function, but a core part of the business, developing strong partnerships and creating value through insightful analyses. If you want to be a part of a fast moving, dynamic initiative then this is the role for you! Key job responsibilities Amazon seeks a Financial Analyst III to support our Global Real Estate and Facilities team for APAC. The candidate would be responsible to perform financial reporting, support monthly P&L analysis and financial forecasts, review fiscal close in close co-ordination with business and accounting teams, evaluate Capex/Opex requirements and continuously benchmark cost productivity for the business. Additionally, the role would also facilitate financial review meetings and work with business managers to ensure effective finance and cost management, provide inputs for monthly and quarterly business reviews in a timely manner and facilitate the business reviews with data analysis and follow through with business leaders on actionable items for improving business metrics over a period of time. Additional responsibilities would include partnering across vertical teams to ensure high-quality reporting, ad-hoc business analyses, financial modeling and analysis of business trends, establishing controls and defining/maintaining business metrics for new/existing businesses. The candidate would also partner with Global leadership team to develop strategic multi-year or long term operating plans, present recommendations to senior management on strategic decisions, and planned future initiatives, drive hiring, manage performance and place accountability. A day in the life • Driving quarterly, annual and multi-year forecasting and budgeting process. • Partnering with the global leadership team to develop strategic multi-year plans and implementing processes to prioritize resource decisions and track the top investments and initiatives necessary to exceed future state targets • Lead monthly reviews of financial and operating metrics, analyze variances to forecast and communicate key drivers to senior management • Be an expert in managing data in financial systems and develop automation programs to create insightful reports to drive business improvement • Produce regular metrics reviews, as well as analytical support through deep-dive analysis • Monitor cost-center expenditures versus forecasts and budgets and provide controllership over operating costs • Managing Routine Operational finance tasks. • Review and Consolidation of Capex budget submission file for APAC • Top vendor spends analysis preparation post budget completion based on direction from Global finance team. • SOP preparation, review and finalization. 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience MBA, or CPA Knowledge of SQL/ETL Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results - - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP) - - Experience in managing, evaluating, analyzing data quickly and creating meaningful business reporting. - - Good financial acumen with problem-solving and decision-making skills. - - Good in managing competing priorities and meet deadlines. - - Excellent interpersonal skills — including written and oral communication skills. - - Advanced proficiency in Excel. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline orchestration tools such as Apache Airflow or similar. - Strong understanding of ETL processes and data warehousing concepts. - Familiarity with cloud platforms like AWS, Azure, or Google Cloud. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : PySpark Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : Engineering graduate preferably Computer Science graduate 15 years of full time education Summary: As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of software solutions, while also performing maintenance and enhancements to existing applications. You will be responsible for delivering high-quality code and contributing to the overall success of the projects you are involved in, ensuring that all components function seamlessly and meet client requirements. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Conduct code reviews to ensure adherence to best practices and coding standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data processing frameworks and distributed computing. - Experience with data integration and ETL processes. - Familiarity with cloud platforms and services related to data processing. - Ability to troubleshoot and optimize performance issues in data pipelines. Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Pune office. - An Engineering graduate preferably Computer Science graduate with 15 years of full time education is required. Engineering graduate preferably Computer Science graduate 15 years of full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline orchestration tools. - Strong understanding of ETL processes and data warehousing concepts. - Familiarity with data quality frameworks and best practices. - Knowledge of programming languages such as Python or Scala. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Knowledge of cloud-based data solutions and architectures. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Knowledge of data warehousing concepts and best practices. Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Knowledge of cloud-based data solutions and architectures. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less