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.
- 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.
Essential qualifications
- Bachelor’s or Master’s degree in Computer Science or related field
- Excellent communication, verbal and written skills
Key competencies
- Either SQL or Java or C++ is a must
- Awareness of software development lifecycle (testing, deployment,
releases) demonstrated through assignment or projects is a must
- Awareness of Agile development methodologies– Azure VSTS, SCRUM is a plus
- Good to have skills on Hadoop technologies like Sqoop, Hive, HBASE, Spark, python, Scala
- Experience in working with Real Time Integrations, IoT projects is a bonus, for instance, Kafka, NiFi, cloud (e.g. AWS, Google or Azure).
Other skills and abilities
- Ability to work in global distributed setting without supervision
- Readiness to work on big data, cloud.
- Self-driven, Proactive, Systems Thinking
SLB is an equal employment prospect employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.
📌 Associate Data Engineer (Pune)
🏢 SLB
📍 Pune