Hybrid Data Engineer

at EXL

• Job title: Data Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Apache, Azure, Cloud, ETL, Greenplum, Hadoop, Oracle, PySpark, Python, Spark, SQL
• Location requirements: Hybrid, India

About the role

• Data Engineer designing, developing, and maintaining data products by liaising with stakeholders. Requires strong skills in Python, SQL, and big data technologies.

Responsibilities

• Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.
• Create the data integration and data diagram documentation.
• Lead the data validation, UAT and regression test for new data asset creation.
• Create and maintain data models, including schema design and optimization.
• Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency.

Requirements

• Strong knowledge on Python and Pyspark
• Expectation is to have ability to write Pyspark scripts for developing data workflows.
• Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum
• Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.
• Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.
• Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.
• Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.
• Expectation is to have strong problem-solving and troubleshooting skills.
• Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.
• Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
• 5-7 years of experience in Data Engineer.
• Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.
• Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.
• Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy.