Advanced Data Engineer

HARMAN India

6 - 11 years

8 - 12 Lacs

gurugram

Posted:1 day ago| Platform:

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Skills Required

python azure data lake scala data warehousing microsoft azure azure data factory computation nosql data quality tableau java sql azure apache nifi data modeling postgresql cassandra data governance mysql aws data integration mongodb informatica

Work Mode

Work from Office

Job Type

Full Time

Job Description

Create data pipelines for more efficient and repeatable data science projects
Design and implement data architecture solutions that support business requirements and meet organizational needs
Collaborate with stakeholders to identify data requirements and develop data models and data flow diagrams
Work with cross-functional teams to ensure that data is integrated, transformed, and loaded effectively across different
platforms and systems
Develop and implement data governance policies and procedures to ensure that data is managed securely and efficiently
Develop and maintain a deep understanding of data platforms, technologies, and tools, and evaluate new technologies and
solutions to improve data management processes
Ensure compliance with regulatory and industry standards for data management and security.
Develop and maintain data models, data warehouses, data lakes and data marts to support data analysis and reporting.
Ensure data quality, accuracy, and consistency across all data sources.
Knowledge of ETL and data integration tools such as Informatica, Qlik Talend, and Apache NiFi.
Knowledge of data governance, data quality, and data security best practices
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with programming languages such as Python, Java, or Scala.
Experience with data visualization tools such as Tableau, Power BI, or QlikView.
Understanding of analytics and machine learning concepts and tools.
Skilled in using relational database technologies such as MySQL, PostgreSQL, and Oracle, as well as NoSQL databases such
as MongoDB and Cassandra. Strong expertise in cloud-based databases such as Azure datalake , Synapse, Azure data
factory or AWS glue , AWS Redshift and Azure SQL.
Knowledge of big data technologies such as Hadoop, Spark, snowflake, databricks , and Kafka to process and analyze large
volumes of data.
Proficient in data integration techniques to combine data from various sources into a centralized location.
Strong data modeling, data warehousing, and data integration skills.

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