Data Analytics Tech Lead Teamlease Digital Private Limited

10.0 - 15.0 years

17 - 34 Lacs

Remote, , India

On-site

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9-11 years experience developing data management solutions, including warehouse design, building, and data ingestion/ETL Experience leading a team of multi-disciplined developers to deliver data analytics solutions using Agile processes 5-7 years of relevant experience in experience inSql, PL/SQL,Python,ETL/ELT ,Data modeling 3-5 years experience working with Cloud data platforms such as Snowflake, Redshift, Databricks etc 2-3 years experience in AWS (DMS,Glue,Lambda) Experience with Life Sciences related business process domains, such as R&D, manufacturing, quality, and supply chain is beneficial Strong data analysis skills Experience with data modelling, especially for warehouses and repositories Experience with SQL and relational databases Development expertise with data management design principles Ability to communicate well with both business owners and technical staffs, at the appropriate level for both Team management experience Scrum Master experience in Agile (SAFe experience a plus) Experience with Snowflake, Oracle databases, and Information PowerCenter and/or IICS Experience with analytics business intelligence solution

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Senior Programmer Analyst Sanmina

4.0 - 5.0 years

9 - 10 Lacs

Chennai

Work from Office

Be part of ODI/GCP development team, Develop ODI/GCP packages/interfaces as per business requirement. (ODI). GCP (Google Cloud Platform) knowledge (Big Query, DAG s, Airflow, Composer and other GCP components) Develop ODI scripts to promote scenarios and packages from dev to test to production. Experience writing complex & analytical SQL queries and performance tuning ELT Process and bottle neck SQL queries Experience with writing technical documentation to ensure business requirements are met through the data warehouse design. Strong professional oral and written communication skills and the ability to interact with people at all organizational levels. Ability to get up to speed quickly on a project that is underway Working Experience on Google Big Query. ( Good to have) Qualifications Required: (Education, experience, skills, etc Please be specific) At least 5 years hands-on experience working with ODI ETL tool 3 plus years Data Warehouse experience Expertise using Topology, Knowledge Modules, Change Data Capture, Metadata Bachelors or Masters in Computer Science is preferred. Strong understanding of ETL technology and processes. Proficient in Netezza database management tools/utilities. Qualifications Required: (Education, experience, skills, etc Please be specific) Education : BE/M.C.A

Posted 3 weeks ago

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Warehouse Manager Nirvaan Infracom

10 - 15 years

8 - 10 Lacs

Hosur

Work from Office

Roles and Responsibilities Manage warehouse operations, including inventory management, stock control, and stocking processes. Coordinate with logistics team for timely delivery of products and services to customers. Looking for warehouse set up, plan for new warehouse set up.

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Azure Data Engineer Aspire Systems

8 - 13 years

10 - 20 Lacs

Chennai, Bengaluru, Kochi

Hybrid

Skill - Azure Data Engineer Designation- Module Leader/Technical Leader/ Technical Architect Experience - 8-15 years Location - Chennai, Kochi and Bangalore Roles & Responsibilities Design, develop, and maintain robust data pipelines and ETL processes. Implement and optimize data storage solutions in data warehouses and data lakes. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. Utilize Microsoft Azure tools for data integration, transformation, and analysis. Develop and maintain reports and dashboards using Power BI and other analytics tools. Ensure data integrity, consistency, and security across all data systems. Optimize database and query performance to support data-driven decision-making. Qualifications: 8-15 years of professional experience in data engineering or a related field. Profound expertise in SQL, T-SQL, database design, and data warehousing principles. Strong experience with Microsoft Azure tools, including SQL Azure, Azure Data Factory, Azure Databricks, Data Fabric and Azure Data Lake. Proficiency in Python, PySpark, and PySQL for data processing and analytics tasks. Experience with Power BI and other reporting and analytics tools. Demonstrated knowledge of OLAP, data warehouse design concepts, and performance optimizations in database and query processing. Excellent problem-solving, analytical, and communication skills. Interested candidates can share their updated resume at megha.chattopadhyay@aspiresys.com

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