Data Modeling Job Vacancies in Mumbai

We are looking for a highly skilled AWS Glue Developer with a minimum of 5-10 years of experience in the industry to join our team at IBM India. The ideal candidate will be responsible for developing and maintaining data integration solutions using AWS Glue, building ETL pipelines, and working on data lakes.Responsibilities:Develop and maintain ETL pipelines using AWS Glue.Design and develop data integration solutions using AWS Glue.Develop and maintain data ingestion, transformation, and integration solutions.Work on data lakes and build efficient data models.Collaborate with cross-functional teams to understand business requirements and design solutions accordingly.Optimize ETL performance and troubleshoot issues.Develop and maintain technical documentation.Stay up to date with the latest AWS Glue developments and incorporate new features and functionality into existing solutions.Requirements:Bachelor's degree in Computer Science or a related field.Minimum of 5-10 years of experience in AWS Glue development.Strong experience with ETL development using AWS Glue.Proficient in Python, Spark, and SQL.Experience with AWS services such as S3, Athena, and Redshift.Familiarity with data modeling and designing data lakes.Experience working with cross-functional teams and collaborating on projects.Excellent communication and documentation skills.Ability to troubleshoot and optimize ETL performance.

Data Management PySpark / SparkSQL Data Modeling Python / Scala Adaptable and flexible Agility for quick learning Ability to work well in a team Commitment to quality Strong analytical skillsRoles and Responsibilities:In this role, you need to analyze and solve increasingly complex problems Your day to day interactions is with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments You will need to consistently seek and provide meaningful and actionable feedback in all interactions You will be expected to be constantly on the lookout for ways to enhance value for your respective stakeholders/clients Decisions that are made by you will impact your work and may impact the work of others You would be an individual contributor and/or oversee a small work effort and/or team. Please note this role may require you to work in rotational shifts.

Responsibilities:-ML model development.-Graph Analytics.-Data/Semantic modeling.-Graph databases.-Research and develop statistical learning models for data analysis.-Collaborate with product management and engineering departments to understand company needs and devise possible solutions.-Keep up-to-date with the latest technology trends.-Communicate results and ideas to key decision makers.-Implement new statistical or other mathematical methodologies as needed for specific models or analyses.-Optimize joint development efforts through appropriate database use and project design.Skills-Sets Required:-Python.-SQL Server, Graph Database.-Insurance industry experience.-Exposure to Sales/Marketing domain.-Excellent English communication and presentation skills, both verbal and written.-Excellent interpersonal and customer-facing skills.

Basic Qualifications5+ years of experience as a Data Engineer or in a similar role3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field3+ years of experience in SQL & PythonBachelor's degree in computer science, engineering, mathematics, or a related technical disciplineExperience with data modelling, data warehousing, and building ETL pipelinesProven track record of solving complex business problem with high quality & automated testing in agile environment.Experience using one of the big data technologies (Spark, EMR, Dbt cloud etc)Excellent communication & analytics skillsPreferred QualificationsExperience working with AWS big data technologies (EMR, Redshift, S3, Lambda, RDS)Experience working with SnowflakeDemonstrated strength in data modeling, ETL development, and data warehousingExcellent understanding of any other programming languages like Java or JavaScriptExperience working with one of big data schedulers like Airflow, Oozie, Azkaban etc.Experience in data streaming with Kafka, Spark Streaming and KinesisBasic knowledge on Containerization and Orchestration like Docker, KubernetesUnderstanding of python data libraries like NumPy, Scikit-Learn etc.Open to learn new technologies & AI libraries

Responsibilities:Data engineering.Data pipeline development.Data quality/governance.Analyse and organize raw data.Data preparation for modelling.Aggregate and clean raw data from different sources.Explore ways to enhance data quality and reliability.Collaborate with data scientists and architects on projects.Skills-Sets Required:Solid understanding of SQL Server.Python.GitHub.Azure Data Factory.Azure Synapse.Data modelling.Microsoft Purview.Insurance industry experience.Exposure to Sales/Marketing domain.IMMEDIATE JOINING.Excellent English communication and presentation skills, both verbal and written

Responsibilities:-Create Tableau reports/dashboards that provide insight.-Maintain complex Tableau reports for scalability and performance.-Understand the data structure and prep the data for Analytics.-Review and improvise the analytics on the dashboards.-Showcase the dashboards to management and gather comments.-Provide optimal resolution for constraints faced by the tableau developers.Skills-Sets Required:-Tableau Dashboard Development.-Tableau server administration.-Solid understanding of SQL Server.-Data modelling.-Strong communication skills.-Financial services experience.-Salesforce CRM / Tableau Integration experience. -Excellent English communication skills.-IMMEDIATE JOINING.-Strong presentation skills, both verbal and written.-Expertise in Microsoft Office.