Lead Data Engineer - Big Data

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 – Big Data

Experience: 8+ Years

Job Description

This role is responsible for the development and implementation of big data & 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 architect to gather, define and document data transformation rules and its implementation. Big 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.

You will have a chance to learn and work with multiple technologies and Thought Leaders in the domain.

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.
• Create and maintain technical documentation that is required in supporting solutions.
• Coordinate with customers to understand their requirements
• 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.

Skills and Qualifications

• BS. / M.S. in Computer Sciences or related field
• Hands on experience on Spark using Scala/python and utilizing Data frames and Spark SQL API for faster processing of data.
• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming or Flink or Kafka.
• Hands on experience with Big Data technologies such as Pig, Oozie, Sqoop, Hive, Impala, Nifi, Airflow
• Working experience with one or more Cloud environments like AWS, Azure or GCP along with hands on experience with different cloud services.
• Software development experience, working with a variety of programming languages such as Java, AngularJS, C++, Python, Groovy, Scala etc.
• Experience with any of the Hadoop distributions such as Cloudera/Hortonworks
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
• Good Knowledge of one or more ETL tools like Informatica, DataStage, Talend etc.
• Strong concepts/experience of designing and developing ETL architectures.
• Strong RDBMS concepts and SQL development skills
• Strong knowledge of data warehousing, data modeling and mapping techniques.
• Experience with Data Integration from multiple data sources
• Working experience in one or more business areas and industries: Telecom, Retail, Financial etc.
• Training/Certification on Teradata or any Cloud Environment (AWS, Azure, GCP) or Cloudera/Hortonworks will be a plus.
• 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