Data Engineer (Azure Or AWS) Where U Elevate

5.0 - 10.0 years

0 - 0 Lacs

pune, maharashtra

On-site

You will be responsible for architecting data warehousing and business intelligence solutions to address cross-functional business challenges. This will involve interacting with business stakeholders to gather requirements and deliver comprehensive Data Engineering, Data Warehousing, and analytics solutions. Additionally, you will collaborate with other technology teams to extract, transform, and load data from diverse sources. You should have a minimum of 5-8 years of end-to-end Data Engineering Development experience, preferably across industries such as Retail, FMCG, Manufacturing, Finance, Oil & Gas. Experience in functional domains like Sales, Procurement, Cost Control, Business Development, and Finance is desirable. You are expected to have 3 to 10 years of experience in data engineering projects using Azure or AWS services, with hands-on expertise in data transformation, processing, and migration using various tools such as Azure Data Lake Storage, Azure Data Factory, Databricks, AWS Glue, Redshift, and Athena. Familiarity with MS Fabric and its components will be advantageous, along with experience in working with different source/target systems like Oracle Database, SQL Server Database, Azure Data Lake Storage, ERP, CRM, and SCM systems. Proficiency in reading data from sources via APIs/Web Services and utilizing APIs to write data to target systems is essential. You should also have experience in Data Cleanup, Data Cleansing, and optimization tasks, including working with non-structured data sets in Azure. Knowledge of analytics tools like Power BI and Azure Analysis Service, as well as exposure to private and public cloud architectures, will be beneficial. Excellent written and verbal communication skills are crucial for this role. Ideally, you hold a degree in M.Tech / B.E. / B.Tech (Computer Science, Information systems, IT) / MCA / MCS. Key requirements include expertise in MS Azure Data Factory, Python, PySpark Coding, Synapse Analytics, Azure Function Apps, Azure Databricks, AWS Glue, Athena, Redshift, and Databricks Pysark. Exposure to integration with various applications/systems like ERP, CRM, SCM, WebApp using APIs, Cloud, On-premise systems, DBs, and file systems is expected. The role necessitates a minimum of 3 Full Cycle Data Engineering Implementations (5-10 years of experience) with a focus on building data warehouses and implementing data models. Exposure to the consulting industry is mandatory, along with strong verbal and written communication skills. Your primary skills should encompass Data Engineering Development, Cloud Engineering with Azure or AWS, Data Warehousing & BI Solutions Architecture, Programming (Python PySpark), Data Integration across various systems, Consulting experience, ETL and Data Transformation, and knowledge in Cloud Architecture. Additionally, familiarity with MS Fabric, handling non-structured data, Data Cleanup and Optimization, API/Web Services, Data Visualization, and industry and functional knowledge will be advantageous. The compensation package ranges from INR 12-28 lpa, subject to the candidate's performance and experience level.,

Posted 3 days ago

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Azure Data Engineer_ Bangalore / Pune _ Who Can Join Immediately CIEL HR

6.0 - 7.0 years

15 - 22 Lacs

Pune, Bengaluru

Work from Office

Role: Data Engineer Experience: 6-7 Years Location: Bangalore, Pune Notice Period: Immediate Joiners Only Role & responsibilities : Mandate Skills Strong - Pyspark (Programming) Databricks Background and experience: Bachelors Degree in Computer Science or related field 6-7 years of experience in Cloud Data Engineering. Technical and professional skills: We are looking for a flexible, fast learning, technically strong Data Engineer. Expertise is required in the following fields: Proficient in Cloud Services Azure Build ETL and data movement solutions. Migrate data from traditional database systems to Cloud environment Strong hands-on experience for working with Streaming dataset Building Complex Notebook in Databricks to achieve business Transforma tions. Hands-on Experience in Data Refinement using Pyspark and Spark SQL Familiarity with building dataset using Scala. Familiarity with tools such as Jira and GitHub Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills Reach us:If you are interested in this position and meet the above qualifications, please reach out to me directly at swati@cielhr.com and share your updated resume highlighting your relevant experience.

Posted 2 months ago

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