Data Engineer 3

SSOE Group

5d • Hybrid

About The Position

We are looking for a hands-on Data Engineer 3 to design, build, and support scalable data pipelines and platforms. This role requires strong ETL/ELT, cloud data, performance optimization, and production support experience, along with close collaboration across architecture, analytics, and application teams.

Requirements

• 7+ years of hands-on experience in Data Engineering, Data Platform Development, or similar roles.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Equivalent practical experience may also be considered.
• Strong experience building and supporting ETL/ELT pipelines, data warehouses, and lake/lakehouse architectures.
• Hands-on experience with platforms such as Databricks, Snowflake, BigQuery, Redshift, or Azure Synapse.
• Advanced SQL skills and strong hands-on experience with Python, Spark/PySpark, dbt, and Airflow or similar orchestration tools.
• Exposure to streaming technologies such as Kafka, Event Hubs, or Kinesis, and data formats such as Parquet, Avro, and JSON.
• Demonstrated ability to deliver independently in complex, large-scale environments while collaborating cross-functionally with strong ownership and accountability.
• The ability to communicate digitally, verbally and in writing with local and international team members - fluency in English is required.
• Should be flexible to work in the evening hours to maintain the communication with the USA teams.

Nice To Haves

• Exposure to Microsoft Fabric is preferred.
• Relevant certifications such as Microsoft Fabric Data Engineer Associate, AWS Data Engineer Associate, or Google Professional Data Engineer are a plus.

Responsibilities

• Design, build, and maintain production-grade ETL/ELT pipelines and data integrations.
• Develop scalable and high-performance data solutions across enterprise and cloud platforms.
• Troubleshoot pipeline failures, performance bottlenecks, and data quality issues.
• Write clean, reusable, and well-documented code aligned with engineering standards.
• Apply architecture patterns, enterprise engineering standards, and data best practices in development work.
• Work with architects, platform engineers, and senior engineers to align solutions with enterprise standards.
• Contribute to improving data engineering frameworks, standards, and ways of working.
• Balance performance, cost, and long-term maintainability in design decisions.
• Partner with analytics, application, product, and business teams to translate requirements into data solutions.
• Participate in design and code reviews to improve quality, consistency, and maintainability.
• Own assigned data domains, pipelines, or platform components.
• Monitor and improve pipeline reliability, performance, data freshness, and cost.
• Support production operations, incident resolution, root cause analysis, and preventive fixes.
• Ensure compliance with data governance, security, privacy, and retention policy standards.
• Improve observability through actionable alerts, SLAs, and operational metrics.

Benefits

• Compensation- as per industry standards.
• A collaborative and supportive culture where you’re not just a number—you’re a critical and highly valued member of our team!
• Remote / hybrid work arrangements.
• As part of a multidisciplinary team, you will experience exciting projects from start to finish and interface directly with some of the most forward-thinking clients in the world.
• A mindset of continuous learning where you are encouraged to ask questions, bring fresh ideas to the table, and pursue your professional development goals.
• A diversity of market sectors, project types, and geographic locations that help insulate your career from economic ups and downs.
• A formal career path and real opportunities for advancement.
• A holistic approach to compensation and benefits that supports your physical and mental health, encourages work-life balance, and empowers your career advancement and financial success.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior