Data Engineer

Data Engineer required

Location: Islamabad, Lahore - Pakistan
Salary:
Experience: 4 Years
Shift Timings: Morning Shift
Job Type: Full-Time


Description: Job Description

This role is responsible for the development and implementation of data warehouse solutions for company-wide application and managing large sets of structured and unstructured data. The candidate will be expected to analyze complex customer requirements and work with data warehouse architect to gather, define and document data transformation rules and its implementation. Data Engineers will be expected to have a broad understanding of the data acquisition and integration space and be able to weigh the pros and cons of different architectures and approaches.

Responsibility

Translate the business requirements into technical requirements

ETL development using native and 3rd party tools and utilities

Write and optimize complex SQL and shell scripts

Design and develop code, scripts, and data pipelines that leverage structured and unstructured data

Data ingestion pipelines and ETL processing, including low-latency data acquisition and stream processing

Design and develop processes/procedures for integration of data warehouse solutions in an operative IT environment.

Monitoring performance and advising any necessary configurations & infrastructure changes.

Readiness to travel to customer sites for short, medium or long-term engagements.

Create and maintain technical documentation that is required in supporting solutions.

Skills and Qualifications

S. / M.S. in Computer Sciences or related field

Hands on experience with at least one ETL tool like Informatica, DataStage, Talend etc.

Strong RDBMS concepts and SQL development skills

Knowledge of data modeling and data mapping

Experience with Data Integration from multiple data sources

Good Data warehouse & ETL concepts

Understanding of one or more business areas and industries: Telecom, Retail, Financial etc.

Good knowledge of Big Data technologies such as Pig, Hive, Spark, Kafka, Nifi

Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

Experience with any of the Hadoop distributions such as Cloudera/Hortonworks

Experience on any of one development or scripting languages e.g. Java, Groovy or Python

Good understanding and basic working experience with at least one cloud service provider: AWS, Azure or Google Cloud and with their native tools.

Good understanding of Agile delivery methodologies.

Solid understanding of DevOps technology stack and standard tools/practices like Linux, Dockers, Jenkins & Git etc.

Training/Certification on any Hadoop distribution will be a plus.

Good communication and analytical skills

Ability to work in a dynamic and collaborative team environment, demonstrating excellent interpersonal skills

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