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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Data Engineer II will develop workflows for datasets to support reporting and analytics projects, requiring SQL expertise and collaboration with various teams.
Top Skills:
AlteryxEssbaseHyperionMs-ExcelPower BISQL
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Data Engineer will manage data projects, implementing and automating ETL processes, ensuring data quality, and collaborating on global client engagements.
Top Skills:
.NetMicrosoft Sql ServerPerlPythonSsis StackVb Script
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
This role involves building and maintaining databases, optimizing SQL queries, leading data security, and supporting automation for data processes.
Top Skills:
DatabricksETLJavaOraclePl/SqlPower BIScalaSnowflakeSparkSpring BootSQLTableau
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : Microsoft Azure Databricks, Microsoft Azure Data Services, Microsoft Azure Analytics Services
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems using Azure Databricks elated Azure services to ingest and process large datasets. . You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities: - Hands-on experience with the platform, including technologies like Apache Spark, Delta Lake, and Lakeflow Pipelines - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling concepts and techniques. - Familiarity with data governance and data quality frameworks. - Experience in programming languages such as Python or Scala. - Deep knowledge of the Microsoft Azure ecosystem, including services like Azure Data Factory, Azure Data Lake Storage, and other data warehousing tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - This position is based at our Bengaluru office. - A 15 years full time education is required.15 years full time education
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : Microsoft Azure Databricks, Microsoft Azure Data Services, Microsoft Azure Analytics Services
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems using Azure Databricks elated Azure services to ingest and process large datasets. . You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities: - Hands-on experience with the platform, including technologies like Apache Spark, Delta Lake, and Lakeflow Pipelines - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling concepts and techniques. - Familiarity with data governance and data quality frameworks. - Experience in programming languages such as Python or Scala. - Deep knowledge of the Microsoft Azure ecosystem, including services like Azure Data Factory, Azure Data Lake Storage, and other data warehousing tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - This position is based at our Bengaluru office. - A 15 years full time education is required.15 years full time education
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Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.

