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Teradata Lead Data Engineer in Islamabad, Pakistan

Our Company

Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today.

The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.

Position: Lead Data Engineer

Experience: 8+ Years

What You'll Do

Translate the business requirements into technical requirements

ETL development using native and 3rd party tools and utilities

Lead the semantic modelling and development activities

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.

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

Coordinate with customers to understand their requirements

Who You'll Work With

Work with Teradata project managers to scope projects and develop a work break down structures and do risk analysis.

Provide direct support to the solution architect and the solution delivery team.

Lead a dynamic and collaborative team, demonstrating excellent interpersonal skills and management capabilities.

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

Minimum Requirements

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

Hands on experience with one or more ETL tools like Informatica, DataStage, Talend etc.

Hands on experience with Teradata Industry standard data models and mapping between source systems, core and semantic data structures.

Working knowledge of financial services domain

Good understanding of different dimensional modeling techniques such as Star vs SnowFlake Schemas.

Working experience on creating semantic and reporting mapping documents.

Strong concepts/experience of designing and developing ETL architectures.

Strong RDBMS concepts and SQL development skills

Strong knowledge of data modeling and mapping

Experience with Data Integration from multiple data sources

Working experience in one or more business areas and industries: Telecom, Retail, Financial etc.

Working experience with one or more Cloud environments like AWS, Azure or GCP along with hands on experience with different cloud services.

Hands on development experience on Python along with a good knowledge of programming languages such as Java, AngularJS, C++, Groovy etc.

Good understanding of reporting tools such as PowerBI, MicroStrategy or Business Objects

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 with Teradata tools and technologies will be a plus.

Training/Certification on Teradata will be a plus.

What You'll Bring

Excellent communication and presentation skills, both verbal and written

Proven experience in customer facing roles for large engagements and managing solution delivery teams.

Ability to solve problems using a creative and logical mind set

Demonstrated skills in team leadership, coaching, and competency building

Must be self-motivated, analytical, detail oriented, organized and pursue excellence on all tasks