Intelsat is hiring for experienced Sr Data Engineer
- Company Name
- Intelsat
- Company Website
- http://intelsat.com
- Experience
- 4+ years
- Job Role
- Sr Data Engineer
- Job Type
-
- Experienced
- Job Location
-
- United States
- Education
-
- ME/M.Tech
- BE/BTech
- Branch
-
- IT
- CS
Eligibility Criteria
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related technology.
- Minimum of 6 years of relevant data processing experience; 4+ years utilizing cloud-based services.
- Experience with large scale data lake and data warehouse implementations in cloud environments.
- Significant experience with programming languages Scala, Python, Java and Spark.
- Technical proficiency including RDBMS, DBMS, AWS, cloud computing, NoSQL, Apache Accumulo, Hadoop technologies (Hive, Pig).
- Expertise building data lakes and data warehouses in AWS using a variety of cloud services including EMR, EC2, S3, Kinesis, Lambda, DynamoDB, SNS, SQS, Glue, Athena, Redshift.
- Experience with web services, API Integration and Data streaming.
- Experience with Continuous Integration & Continuous Delivery (Jenkins)
- Experience in data analysis and writing and developing complex queries using SQL.
- Experience in Agile methodologies (Kanban and SCRUM).
- Ability to work autonomously and with small cross-functional teams.
- Strong communication skills including technical documentation, development and delivery of demonstrations and presentations and the ability to listen and communicate effectively with functional leaders.
- Master’s in computer science, Engineering, or Information Systems
- Experience with Metadata management and Data Governance.
- Experience with Tableau, Power BI or similar data visualization tools
- Experience in airline / aviation, internet, or telecommunications
Job Description
- Strong problem-solving skills with acute attention to detail and ability to meet tight deadlines and project plans.
- Design and develop complex, large scale data structures and pipelines to organize, collect and standardize data to generate insights and address analytical/reporting needs
- Design standards and best practices into new data engineering solutions.
- Proactively identify performance and data quality problems and drive to remediate them.
- Manage code versions and deployment process in source control and coordinate changes across team.
- Partner with Product Management and Operation teams to proactively identify monitoring gaps and improving upstream data collection and advocating for data driven thinking.
- Assist in running code reviews, guide team to follow standards, supporting team members in brainstorming and challenging designs.
- Solve and help other team members complex data issues around data integration of structured and unstructured sets other data processing incidents.
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