Senior Data Engineer

7 days ago

bangalore, India Tata Consultancy Services Full time

Data Engineer - Senior Engineer/ManagerExperience Range: 10 - 18 yearsLocation: 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 companyExperience delivering products in an agile software development environment including sprint work in JiraExcellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizationsStrong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and SnowflakeExperience 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 TechnologiesLanguagesScala, Python, SQLData ProcessingApache Spark, Flink, AirflowPlatforms & ToolsDatabricks, Hive, Presto, SnowflakeCloudAWS (S3, EMR, Glue, Lambda)Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiencesExperience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid ChartStrong analytical and critical thinking skillsEnjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a teamPreferred QualificationsExperience with digital advertising systems and ecosystemsExperience using data analytics to triage and troubleshoot advertising workflowsExperience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD)

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