
▷ 3 Days Left: Senior Data Engineer
3 days ago
Data Engineer - Senior Engineer/Manager
Experience Range: 10 - 18 years
Location: Bengaluru, India
Primary Skills Required:
Position 1(Required Exp Range - 12-18 years): Java, Scala, Spark, Python, Kafka, Airflow, SQL, Databricks, Snowflake, Hive, AWS, Oracle Exadata, SAP Data Services
Position 2(Required Exp Range - 10-15 years): Java, Scala, Spark, Python, Kafka, Airflow, SQL, Databricks, Snowflake, Hive, AWS
Required Qualifications
- Minimum of 8-10 years of relevant data science, Business Intelligence, or data analytics experience – preferably with a digital media or digital advertising company
- Experience delivering products in an agile software development environment including sprint work in Jira
- Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations
- Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake
- Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow
- Expert level knowledge in at least one programming language such as Python, R, Scala, Java.
- Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc.
Category Technologies
Languages
Scala, Python, SQL
Data Processing
Apache Spark, Flink, Airflow
Platforms & Tools
Databricks, Hive, Presto, Snowflake
Cloud
AWS (S3, EMR, Glue, Lambda)
- Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences
- Experience in working with large datasets (Terabytes or more)
- Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart
- Strong analytical and critical thinking skills
- Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Preferred Qualifications
- Experience with digital advertising systems and ecosystems
- Experience using data analytics to triage and troubleshoot advertising workflows
- Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD)
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