Job Description

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.

Responsibilities

Core 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.

Architecture & Engineering Standards Alignment:

• 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.

Stakeholder Collaboration:

• 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.

Operational Excellence & Reliability:

• 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.

Qualifications

Qualifications:

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

Additional Perks Offered:

• 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.

Work Schedule:

The position follows a split‑shift work schedule from 9:00 AM to 1:00 PM IST and 7 PM to 11:00 PM IST, to support the U.S.A offices.

The above schedule is subject to change based on business requirements, with appropriate notice, in accordance with company policy.

SSOE– The Best of Both Worlds

At SSOE, our growth trajectory allows us to offer the opportunities normally associated with a large firm while embracing the collaborative and supportive culture often found in smaller firms. As a member of the SSOE team, you will work on exciting and diverse projects for Fortune 100 clients around the globe, supported by the best technology for the task at hand. You will experience our employee-centric culture that strives to offer a healthy balance, flexible working arrangements, direct access to leadership at all levels, and a mindset of continuous learning. Once you experience the SSOE difference, you’ll understand the why behind our metrics:

• 28% - of our employees have been with SSOE for 10 years or more.
• 15% - percentage of employees with tenure exceeding 15 years.
• 99% - our CEO’s approval rating on Glassdoor.
• 98% - portion of our clients who say they would recommend us to a colleague.