Senior Data Engineer

5 days ago


india Tata Consultancy Services Full time

Data Engineer - Senior Engineer/ManagerExperience Range:10 - 18 years Location:Bengaluru, IndiaPrimary 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 ServicesPosition 2(Required Exp Range - 10-15 years):Java, Scala, Spark, Python, Kafka, Airflow, SQL, Databricks, Snowflake, Hive, AWSRequired QualificationsMinimum 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 teamPreferred 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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