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Job Title: Data Engineer
Employment Type: Full-time
Location: Hyderabad
Experience: 3 to 5 Years
Joining: Immediate to 30 Days
Shift: US Shift / Night Shift - 5PM to 2AM IST
Work Model: 4 Days Work From Office, 1 Day Work From Home.
Role:
Work collaboratively with the Provider Team, Call Center Specialists and other Nations Hearing employees. The person in this role will actively engage in day-to-day communications with Providers. This role requires excellent interpersonal skills to communicate effectively. They must be positive, energetic individuals with strong organizational skills, attention to detail and ability to multi-task. Basic to intermediate knowledge of Excel is required.
Key Responsibilities:
Requirements:
Job ID: 153641837
Skills:
Azure Data Factory, Scala, Azure Databricks, Python, Sql, Palantir
Skills:
data engineering , Java, S3, Data Modeling, Etl Development, Scala, Nodejs, Emr, Redshift, Sql, Lambda, Kinesis, Iam, Data Warehousing, Python, Airflow, AWS Step Functions, NoSQL databases, AWS technologies, Glue, Firehose
Skills:
Servicenow, Cloud Watch, Data Warehousing Concepts, Informatica, Lambda, Ec2, Oracle, Python, AWS, Pyspark, Github, Dynamodb, Sql, DataStage, ECS, Sqs, Spark, Elastic Search, Gitlab, Databricks, Airflow, ETL technologies, Step Functions, EKS, Glue, Elastic Cache
Skills:
snowflake , Machine Learning, Aws Redshift, Adf, Ms Sql Server, Cassandra, PostgreSQL, Mpp, Javascript, Terraform, MySQL, Oracle, Python, Java, Hadoop, Scala, Dynamodb, Emr, Deep Learning, Neo4j, Spark, MongoDB, Azure, CosmosDB, Titan
Skills:
snowflake , Aws Redshift, Power Bi, Tableau, Data Warehousing, Apache Airflow, Azure Data Factory, Azure Synapse Analytics, Apache Kafka, Databricks, Apache Iceberg, SQL proficiency, Cloud-native data architecture, Google BigQuery, Looker, dbt, Delta Lake, Azure Event Hubs, Microsoft Fabric, AWS Kinesis, Databricks Workflows, pipeline development