| Big Data Lead- Skill: Cloud Snowflakes - New Jersey- Need Passport number at Remote, Remote, USA |
| Email: [email protected] |
| From: Pallavi Sharma, KEY INFOTEK [email protected] Reply to: [email protected] Share only those profiles that you have not submitted to Hexaware previously. Requirement: Big Data Lead JobCode: 252142 Skills: Cloud Snowflakes,AWS-Redshift,Azure ADF,Azure-BI Developer,BI - SAP Hana,BigData -Cassandra,BigData -Flume,BigData -Hadoop,BigData -HBASE,BigData -Hive,BigData -Impala,BigData -MongoDB,BigData -Nifi,BigData -Scala,BigData -Spark,BigData -Sqoop,Cloud Snowflakes,CloudDatabricks,Data-Dremio,GCP (Google Cloud Platform),BigData -Scala,BigData -Spark,Data Science - PySpark,Data Science - Python Grade: G5 Experience: 9+ Years Country: United States City: New Jersey Buy Rate: Requirement duration: 03-Jan-2024 - 30-May-2024 Job Description: Primary : SQL server, Snowflakes, , IICS, Data lakes and Data modeling ADF nice to have. Strictly no AWS Position Summary : The Data Engineer is a key contributor to Our Data & Analytics Strategy to transform as a Data-driven organization and position Credit Union as a Technology Leader. This position is responsible for the design, development, deploy and operations of data analytics in Modern Cloud Data & Analytics platform. You will be part of a passionate, highly collaborative team who works in a fast-paced agile environment. You will work closely with business & technology owners, product managers, data champions and cross-functional teams to support data & analytical needs and enable data-as-a-service function. The ideal candidate will be a experienced data engineering & analytics professional, excels in delivering value, familiar with modern data architectures, offering comprehensive data & analytical technology skills in Data Pipelines, Snowflake, Cloud Data & Analytics Platforms, Data Warehouse, BI Analytics & Dashboards. Preferable to have financials services domain experience from banking, credit union, fintech and other financial sectors Qualifications : 6+ years of professional experience in data & analytics technologies/solutions as data engineer or related roles B.S. in computer science or equivalent experience. Skills: Proficient level data engineering skills using Cloud Data Platforms - Snowflake, ELT/ETL mechanisms, Informatica IICS, Stored procedures to ingest structured, semi-structured datasets using files, and RDBMS - SQL Server. Experience in Data lakes and Data modeling is Must Azure Data factory(ADF) experience is nice to have Proficient in data analysis using Tableau, SQL, and other data analysis techniques. Expertise with data operations, sustaining data pipelines and production system processes. Experience in applying Data management patterns to measure & monitor data quality. Applying data governance standards and creating technical data dictionary. Experience in SDLC Processes, CI/CD and Agile Methodologies. Ability to work with Jira, Share Point, Confluence, Git. Production support experience will be an added advantage. Job description , Roles And Responsibilities Financial services background with preference to domain experience in Credit Union, Banking, FinTech sectors. Other financial sectors and domains will be considered Develops and delivers data & analytics solutions and projects to meet organizational priorities and timelines. Analyzes enterprise and external data sources, creates optimized & resilient data pipelines to ingest and enriches them. Designs analytical consume ready data models by applying modern data warehouse techniques. Creates and enriches curated data models while ensuring conformed, transformed, enriched and connected data sets Enables dashboards/reports in Tableau; Applies analytical mindset in deriving data driven insights, designs & creates intuitive dashboards and scorecards. Practices and adheres to enterprise data standards, guidelines, data management architecture. Finds opportunities to improve best practices, identifies repeatable solutions to underlying problems. Works with offshore and external partner resources and owns delivery of work items. Innovative problem solving, and Can-do mind set. Outcome oriented and always finds a way deliver commitments. Fast learner and quickly adopts to dynamic environment. Ability to work in a fast-paced agile team environment. Applies & demonstrates Team-First mindset. Collaborates with team for data & analytics platform maturity. Good Communication Able to work independently with customer Keywords: continuous integration continuous deployment business intelligence |
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| Mon Dec 11 22:12:00 UTC 2023 |