Vcs data jobs in Gurgaon

 ...We are seeking a highly skilled OBIEE Consultant with extensive experience in OBIEE Reporting, RPD development, and related data integration tools. The ideal candidate will have a strong command of SQL, be proficient in Informatica and DAC, and bring a proven track record of... 

Key deliverables: # Enhance and maintain the MDM platform # Monitor and optimize system performance # Troubleshoot and resolve technical issues # Support production incident resolution Role responsibilities: # Develop and refactor Python and SQL code # Integrate...

 ...Key Responsibilities: Manage and transform big data sets using PySpark, Spark-Scala, NumPy, and pandas. Handle analytics and data engineering projects using Python, Spark, SQL, and related tools. Collaborate with customers on Python model evolution and code management... 

 ...Looking for a Data Engineer with 5–9 years of hands-on experience for Pune and Gurugram location for one the leading management and consulting firm ???? End-to-end project execution ???? Expertise in AWS & Azure ???? Strong in SQL & Databricks SQL ???? Skilled in Python... 

 ...Key Responsibilities: Collect and analyze business requirements to develop SSIS packages. Analyze existing data in legacy systems, focusing on data cleansing and transformation. Conduct data mapping between source and destination systems. Participate in planning... 

 ...Responsibilities: Data Pipeline Design & Build: Design and build robust data pipelines using Spark-SQL and PySpark in Azure Databricks . ETL Pipeline Development: Design and build efficient ETL pipelines using Azure Data Factory (ADF) . Lakehouse Architecture:... 

 ...Data Privacy Specialist Omnicom Global Solutions About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide... 

 ...Job Title: Data Engineer Location: Hybrid / Gurugram, India Type: Full Time with our client Salary: Market Job Purpose: As a Data Engineer.. You will help in developing high performance & high scalability enterprise applications using one or more leading cloud... 

 ...Responsibilities: Collaborate with business stakeholders to identify and document requirements for data engineering projects. Analyze existing data processes and workflows to identify opportunities for improvement and optimization. Work closely with data engineers... 

 ...Senior Data Engineer â€' Azure This is a hands on data platform engineering role that places significant emphasis on consultative data engineering engagements with a wide range of customer stakeholders Business Owners, Business Analytics, Data Engineering teams, Application... 

 ...We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform. You will be responsible for designing, implementing, and maintaining PySpark-based applications to handle... 

 ...Description We are looking for a skilled Data Analyst to join our team in India. The ideal candidate will be responsible for analyzing data, generating reports, and providing insights to support our business objectives. If you have a passion for data and a drive to uncover... 

 ...Developing ETL pipelines involving big data. Developing data processinganalytics applications primarily using PySpark. Experience of developing applications on cloud(AWS) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming. Clear understanding... 

 ...Description We are seeking a Data Analyst with 3-10 years of experience to join our dynamic team in India. The ideal candidate will have a strong analytical mindset and be proficient in data analysis and visualization techniques. You will be responsible for analyzing data... 

 ...Responsible for building data lake, data foundation and analytical solution with standard design and modern cloud/hybrid architecture pattern Work with cross functional teams to make the data usable for functional users and applications to enable delivery of business values... 

 ...MUST HAVE Experience on working with ETL on a data warehouse or big data projects. Experience with cloud services like Azure or GCP or AWS with respect to the data related services, could be just ETL, data cleanup or BI but has potential to be groomed in a 1-2 month period... 

 ...Job description This will be data engineer position. Detail JD as follow Key Responsibilities: Data Infrastructure Development: Design, implement, and maintain scalable data pipelines and data warehousing solutions using SQL and Python. Data Integration: Collaborate... 

 ...We are looking for a Data Engineer to join our team and play a key role in building, optimizing, and managing data pipelines. You will work closely with Data Analysts and Business Functions to ensure seamless data processing, reporting, and dashboarding. Our tech stack includes... 

 ...We are seeking an experienced Data Analyst to join our team in India. The ideal candidate will have a strong background in data analysis and visualization, with the ability to turn data into actionable insights that drive business decisions. Responsibilities Collect, clean... 

 ...Job Description for Databricks / PySpark Developer/Sr. Dev Experience with Databricks, PySpark, and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Proficient in Python, SQL, Pyspark and Scala (knowledge of Java... 

 ...Looking someone with expertise on IICS. IICS stands for  Informatica Intelligent Cloud Services , and it is a cloud-based platform for data integration. The various services that the platform offer include application integration, business data integration and API... 

 ...degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Experience: Minimum 2 years of experience in data analysis or a related field. Strong proficiency in SQL and Python (Pandas, NumPy). Experience with data visualization tools (Tableau... 

 ...We are looking for a Senior Data Engineer with strong hands-on experience in Azure-based data engineering tools and technologies. This role will focus on building and optimizing scalable data pipelines using Azure Databricks , ADF , ADLS Gen2 , and PySpark , while... 

 ...Role & responsibilities ~5+ years of related experience ~ Design/development of ETL jobs and design data models as per the analytics requirements, integrating data for multiple departments. ~ Proficient in development and unit testing of ETL packages ~ Development,... 

 ...Position Title - Data Architect / Solution Architect  Location: Pan india This position description should represent your role and responsibilities at the time of appointment, however due to the dynamic nature of our business, your job title, key tasks and responsibilities... 

* Key Responsibilities: Design, build, and maintain scalable data pipelines using DBT and Airflow. Develop and optimize SQL queries and data models in Snowflake. Implement ETL/ELT workflows, ensuring data quality, performance, and reliability. Work with Python for... 

 ...Designing and developing ETL processes using Talend for data integration and transformation. Extracting data from various sources, including databases, APIs, and flat files. Transforming data to meet business requirements and ensuring data quality. Loading transformed... 

 ...We are seeking a skilled Data Engineer with at least 5 years of experience to join our data analytics team, focusing on building robust data pipelines and systems to support the creation of dynamic dashboards. The role involves designing, building, and optimizing data architecture... 

 ...Description We are seeking a skilled Data Engineer to join our team in India. The ideal candidate will be responsible for designing and implementing scalable data pipelines, ensuring data quality and accessibility, and collaborating with cross-functional teams to deliver data... 

 ...To design, develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources. Real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc. To optimize the performance of data...