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Data Engineer
Job Description
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 : Databricks Unified Data Analytics Platform
Good to have skills : NA
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - 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 in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Experience in working with cloud-based data solutions. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bhubaneswar office. - A 15 years full time education is required.
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 : Databricks Unified Data Analytics Platform
Good to have skills : NA
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - 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 in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Experience in working with cloud-based data solutions. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bhubaneswar office. - A 15 years full time education is required.
More Info
Key Skills
Databricks Unified Data Analytics Platform
ETL processes
data integration techniques
data quality frameworks
data pipeline development and management
cloud-based data solutions
About Company
Skills:
snowflake , Java, Data Factory, Performance Tuning, Scala, Data Governance, Sql, Metadata Management, Spark, Python, OneLake, Access Control, Snowflake Snowpipe Streaming, Fabric Warehouse, Fabric Lakehouse, Microsoft Purview, Snowpark, Snowflake Tasks, Azure Event Hubs, Lakehouse architecture, Data quality frameworks, Microsoft Fabric, CI/CD practices for data pipelines
Skills:
Data migration strategies, ETL processes, Data governance principles, Data integration techniques, Data quality frameworks, Reltio
Skills:
Azure Data Factory, Power Bi, MySQL, Oracle, Sql, Performance Tuning, Data Modeling, ADLS Gen2, Enterprise data architecture, Data quality frameworks, Data integration patterns, Troubleshooting, Data security practices, Workflow orchestration, Query development
Skills:
Java, Metadata Management, Scala, Sql, Apache Airflow, Kinesis, MLops, Gcp, Apache Kafka, Spark, Data Governance, Azure, Python, AWS, data quality frameworks, Flink, Prefect, dbt
Skills:
snowflake , Databricks, Data Quality, Kafka, Data Governance, Data Warehousing, Python, Sql, Google Cloud, Data Manipulation, ETL processes