- - - - Basic Qualifications ----
- Strong SQL skills
- Strong in Data Warehousing and Data Modelling concepts
- Hands on experience in Hadoop tech stack:
- HDFS, Hive, Oozie, Airflow, MapReduce, Spark.
- Programming languages - Python, Java, Scala etc.
- Experience in building ETL Data Pipelines
- Performance Troubleshooting and Tuning
- - - - Preferred Qualifications ----
- Experience with DW (Data Warehouse) or BI (Business Intelligence) or OLAP tools like Anaplan, TM1, Hyperion etc.
- Experience building high-quality end-to-end data solutions in an agile environment from requirements to production.
- Strong in Data Warehousing concepts
- Should be self-motivated and passionate about bringing efficiency into the system through optimizations.
- Should be able to raise the bar for other engineers by proposing and driving innovative ideas.
- Experience in mentoring junior team members technically.
- If need be, Act as a Leader to drive big efforts in collaboration with other engineers or team members.
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .