Data Engineer - Data Warehouse, BigData, Python and SQL
Telangana, Hyderabad, India
ECS
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Job Summary We are seeking a skilled Data Engineer to join our team and contribute to designing, developing, and managing data solutions, including pipelines and data warehouses. The ideal candidate will handle high-volume data processing, integrate complex data structures, and optimize data storage solutions. You will ensure data reliability, quality, and compliance while collaborating on analytics and business intelligence projects in a diverse technological environment.
Must-Have Skillsets (Mandatory) - Expertise in Advanced SQL, PLSQL, and handling bulk data processing. - Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres. - Experience in data modeling, including Star/Dimensional modeling. - Knowledge of Data Warehouse development and ETL processes. - Experience with structured and semi-structured data ingestion. - Familiarity with big data platforms and technologies such as Hadoop, Scala, Spark, Hive, Shell Scripting, and AWS tools like EMR, Lambda, Glue, and Step Function. - Strong problem-solving, debugging, and performance-tuning skills. - Ability to design and optimize data storage and manage data governance principles.
Good-to-Have Skillsets (Optional) - Hands-on experience with Hadoop/Big Data environments. - Experience with streaming data platforms like Kafka or Flume. - Knowledge of data analytics and business intelligence solutions. - Proficiency in tools for data integration and orchestration like Sqoop.
Qualifications and Experience - Bachelor's degree in Computer Science, Information Technology, or a related field. - Minimum of [insert years, e.g., 4+ years] experience in database and enterprise data warehouse development. - Proven track record of developing and managing complex data pipelines and integrating diverse data sources. - Strong analytical and numerical skills with attention to detail.
This role is ideal for a dynamic professional eager to innovate in a data-driven environment and contribute to transformative projects.
Must-Have Skillsets (Mandatory) - Expertise in Advanced SQL, PLSQL, and handling bulk data processing. - Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres. - Experience in data modeling, including Star/Dimensional modeling. - Knowledge of Data Warehouse development and ETL processes. - Experience with structured and semi-structured data ingestion. - Familiarity with big data platforms and technologies such as Hadoop, Scala, Spark, Hive, Shell Scripting, and AWS tools like EMR, Lambda, Glue, and Step Function. - Strong problem-solving, debugging, and performance-tuning skills. - Ability to design and optimize data storage and manage data governance principles.
Good-to-Have Skillsets (Optional) - Hands-on experience with Hadoop/Big Data environments. - Experience with streaming data platforms like Kafka or Flume. - Knowledge of data analytics and business intelligence solutions. - Proficiency in tools for data integration and orchestration like Sqoop.
Qualifications and Experience - Bachelor's degree in Computer Science, Information Technology, or a related field. - Minimum of [insert years, e.g., 4+ years] experience in database and enterprise data warehouse development. - Proven track record of developing and managing complex data pipelines and integrating diverse data sources. - Strong analytical and numerical skills with attention to detail.
This role is ideal for a dynamic professional eager to innovate in a data-driven environment and contribute to transformative projects.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Big Data Jobs
Engineering Jobs
Tags: AWS Big Data Business Intelligence Computer Science Data Analytics Data governance Data pipelines Data warehouse ETL Hadoop Kafka Lambda MySQL Oracle Pipelines PostgreSQL Python Redshift Scala Shell scripting Spark SQL Streaming
Region:
Asia/Pacific
Country:
India
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