EXL IT service management
Location
Gurgaon | India
Job description
Job Title: Data Engineer
Job Summary
Data Engineers will be responsible for the design, development, testing, maintenance, and support data assets including Azure Data Lake, data bricks and data warehouse development, modeling, package creation, SQL script creation, stored procedure development, integration services support among other responsibilities & SAS Migration.
Candidate have at least 3-5 years hands-on Azure experience as a Data Engineer, must be an expert in SQL and have extensive expertise building data pipelines, must have done data migration project before. Candidate will be accountable for meeting deliverable commitments including schedule and quality compliance. This Candidate must have skills to plan and schedule own work activities, coordinate activities with other cross-functional team members to meet project goals.
Basic understanding of :
- Scheduling and workflow management & working experience in either ADF, Informatica, Airflow or Similar
- Enterprise Data Modelling and Semantic Modelling & working experience in ERwin, ER/Studio, PowerDesigner or Similar
- Logical/Physical model on Big Data sets or modern data warehouse & working experience in ERwin, ER/Studio, PowerDesigner or Similar
- Agile Process (Scrum cadences, Roles, deliverables) & basic understanding in either Azure DevOps, JIRA or Similar
- Architecture and data modelling for Data Lake on cloud & working experience in Amazon WebServices (AWS), Microsoft Azure, Google Cloud Platform (GCP)
- Basic understanding of Build and Release management & working experience in Azure DevOps, AWS CodeCommitt or Similar
Strong In:
- Writing code in programming language & working experience in Python, PySpakrk, Scala or Similar
- Big Data Framework & working experience in Spark or Hadoop or Hive (incl. derivatives like pySpark (prefered), SparkScala or SparkSQL) or Similar
- Data warehouse working experience of concepts and development using SQL on single (SQL Server, Oracle or Similar) and parallel platforms (Azure SQL Data Warehouse or Snowflake)
- Code Management & working experience in GIT Hub, Azure DevOps or Similar
- End to End Architecture and ETL processes & working experience in ETL Tool or Similar
- Reading Data Formats & working experience in JSON, XML or Similar
- Data integration processes (batch & real time) using tools & working experience in either Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop or Similar
- Writing requirement, functional & technical documentation & working experience in Integration design document, architecture documentation, data testing plans or Similar
- SQL queries & working experience in SQL code or Stored Procedures or Functions or Views or Similar
- Database & working experience in any of the database like MS SQL, Oracle or Similar
- Experience on SAS data migration
- Analytical Problem-Solving skills & working experience in resolving complex problems or Similar
- Communication (read & write in English), Collaboration & Presentation skills & working experience as team player or Similar
Good to have:
- Stream Processing & working experience in either Databricks Streaming, Azure Stream Analytics or HD Insight or Kinesis Data Analytics or Similar
- Analytical Warehouse & working experience in either SQL Data Warehouse or Amazon Athena or AWS Redshift or Big Query or Similar
- Real-Time Store & working experience in either Azure Cosmos DB or Amazon Dynamo-DB or Cloud Bigdata or Similar
- Batch Ingestion & working experience in Data Factory or Amazon Kinesis or Lambda or Cloud Pub/Sub or Similar
- Storage & working experience in Azure Data Lake Storage GEN1/GEN2 or Amazon S3 or Cloud Storage or Similar
- Batch Data Processing & working experience in either Azure Databricks or HD Insight or Amazon EMR or AWS Glue or Similar
- Orchestration & working experience in either Data Factory or HDInsight or Data Pipeline or Cloud composer or Similar.
Job tags
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