Senior Engineer, Quality Assurance 1 1

SES Satellites; Chennai District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading satellite communications company seeks a Senior Engineer specializing in Data Engineering and Business Intelligence. This role involves designing solutions for big data analytics, collaborating with cross-functional teams, and ensuring high-quality data integration. Candidates should have a bachelor's degree in a relevant field and significant experience using cloud technologies and SQL to build efficient data systems. Strong problem-solving and communication skills are essential for success in this position.

Qualifications

• 6+ years of relevant data processing experience, especially with cloud-based services.
• Experience with large-scale data lake and warehouse implementations.
• Strong expertise in building data lakes and warehouses in Snowflake.

Responsibilities

• Design and deliver solutions for big data analytics.
• Develop technical solutions aligning with customer requirements.
• Collaborate with data engineers and analysts to ensure optimal delivery.

Skills

Problem-solving skills

Attention to detail

Cloud-based services experience

Data analysis

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

DBT

Python

SQL

Jenkins

Job description

Requisition Number: 19531

Contract Type: Permanent

Location(s):
Chennai, IN

Senior Engineer, Data Engineering & Business Intelligence 1

Role Description Summary

Specialize in designing and delivering solutions to enable big data analytics which support the growth and performance of our inflight connected experience under SES Commercial Aviation division.

Primary Responsibilities / Key Result Areas

• Utilize a rigorous design methodology that consistently yields the right level of technical design documentation and develop technical solutions that conform both to customer requirements and information development standards.
• Building value-creating and innovative data solutions.
• Use a vast amount of programming tools to design new data solutions to ingest and integrate data into Unified Data Platform.
• Understand various requirement gathering and specification methodologies and can recommend one appropriate to a project.
• Designing, Implementing, and supporting a platform that can provide access to large datasets.
• Work as equals with Data Engineers, Quality Engineers, BI Developers and Business Analysts to establish optimal design/development/delivery which properly serves technical teams and our user community. Identify risks, tradeoffs, and investment decisions to facilitate best practices.

Competencies

• 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 that 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.

Qualifications & Experience

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related technology.
• Minimum of 6 years of relevant data processing experience; 3+ years utilizing cloud-based services and data streaming.
• Experience with large scale data lake and data warehouse implementations in cloud environments.
• Expertise building data lakes and data warehouses in Snowflake using DBT, Phyton, Snowpark, Snowpipe and Snowflake SQL.
• Experience with Continuous Integration & Continuous Delivery (Jenkins)
• Experience in data analysis and writing and developing complex queries using SQL.
• Strong communication skills including technical documentation, development and delivery of demonstrations and presentations and the ability to listen and communicate effectively with functional leaders.

SES and its Affiliated Companies are committed to providing fair and equal employment opportunities to all. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law.

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