Associate Data Engineer

About the Role

The IT Data Engineer is responsible for developing and managing the data’s ETL processing, with a focus on quality and risk, to assist in the achievement of analytics objectives.

Responsibilities

• Build robust, fault-tolerant data pipelines that clean, transform and aggregate unorganized and messy data into databases or data sources.
• Compile and install database systems, write complex queries and scale to multiple machines.
• Lay the groundwork for a Data Analyst or Data Scientist to easily retrieve the needed data for their evaluations and experiments.
• Provide input to the business strategy to help guide the overall direction of data management and data quality within the organization.

What You'll Need

• Bachelor’s or Master’s degree in Computer Science or related field.
• Excellent communication, verbal and written skills.
• Proficiency in SQL, Java, or C++ is a must.
• Awareness of software development lifecycle (testing, deployment, releases) demonstrated through assignments or projects.
• Awareness of Agile development methodologies like Azure VSTS and SCRUM is a plus.
• Good to have skills on Hadoop technologies like Sqoop, Hive, HBASE, Spark, Python, and Scala.
• Experience in working with Real Time Integrations, IoT projects (e.g., Kafka, NiFi, AWS, Google, or Azure) is a bonus.
• Ability to work in a global distributed setting without supervision.
• Readiness to work on big data and cloud.
• Self-driven, proactive, and systems thinking mindset.

Resume Tip

To stand out, highlight your proficiency in SQL, Java, or C++ on your resume, and showcase any academic or professional projects that demonstrate your understanding of the software development lifecycle, Agile methodologies, or big data technologies like Hadoop and Spark.