Software Engineer – Data

Job Summary Synechron is seeking a knowledgeable and proactive Software Engineer specializing in ETL development and emerging technologies. In this role, you will design, develop, and optimize data integration and transformation solutions while collaborating with cross-functional teams to meet business needs. Your expertise will support ongoing digital transformation initiatives, ensuring high-quality, scalable, and secure data workflows aligned with organizational goals and industry best practices. Software Requirements Required Skills: Strong understanding of data management and integration concepts, including data warehousing and ETL processes Proficiency in programming languages such as Python, Java, or Node.js, with experience applying these skills to data workflows Hands-on experience with SQL and NoSQL databases like Oracle, MySQL, or comparable systems Familiarity with data transformation and pipeline tools such as Informatica, Talend, or equivalent Experience integrating emerging technologies like IoT, blockchain, or cloud platforms into data solutions (preferred) Knowledge of SDLC and Agile methodologies for development and deployment Preferred Skills: Knowledge of cloud data services such as AWS Glue, Azure Data Factory, or GCP Dataflow Experience with data quality, validation, and cleansing techniques Familiarity with automation frameworks for ETL testing and deployment pipelines Understanding of API integration and messaging protocols Overall Responsibilities Collaborate with cross-functional teams to gather requirements and design scalable data workflows and pipelines Develop, test, and maintain ETL scripts and workflows ensuring data accuracy, consistency, and security Optimize data transformation processes for performance, scalability, and supportability Support system upgrades, patches, and deployment activities for data pipelines and related systems Troubleshoot and resolve data anomalies, pipeline failures, and integration issues efficiently Lead efforts to incorporate emerging technologies and best practices into data workflows Maintain technical documentation, data dictionaries, and operational procedures Participate in agile planning, review sessions, and continuous improvement initiatives Work with QA teams to validate data and ETL processes, supporting quality assurance efforts Technical Skills (By Category) Languages & Frameworks: Required: Python, SQL, Java or Node.js (preferred) for scripting and automation Preferred: Experience with data pipeline orchestration frameworks like Apache Airflow or Prefect Data Management & Warehousing: Required: Extensive experience with relational databases (Oracle, MySQL) and data transformation techniques Preferred: Experience with NoSQL databases (MongoDB, Cassandra) and cloud data lakes ETL & Data Integration: Required: Knowledge of ETL platforms such as Informatica, Talend, or equivalent tools Preferred: Data pipeline automation, validation, and testing frameworks Tools & Platforms: Required: Version control (Git), cloud data services, and automation tools Preferred: Monitoring and logging tools such as Splunk, Datadog, or Cloud-specific services Security & Quality Assurance: Required: Data security best practices, data privacy, and validation procedures Preferred: Automated testing for data workflows and validation scripts Experience Requirements 5+ years of professional experience in data integration, ETL development, or related fields Proven track record in designing and implementing scalable data workflows in complex environments Demonstrated ability to troubleshoot data pipeline issues and optimize performance Experience working with emerging technologies such as blockchain, IoT, or cloud data solutions (preferred) Industry experience in finance, healthcare, or e-commerce data ecosystems is advantageous but not mandatory Day-to-Day Activities Develop and maintain ETL workflows, scripts, and data pipelines aligned with project requirements Monitor data flows, troubleshoot failures, and optimize performance in production and staging environments Collaborate with data engineers, analysts, and business teams to validate data quality and completeness Support system upgrades, patches, and automation initiatives for data pipelines Document workflows, data schemas, and validation procedures comprehensively Assist QA teams in data validation and ETL testing efforts Evaluate new tools, frameworks, and emerging technologies for potential integration or automation Participate in agile ceremonies, deliver progress summaries, and suggest process improvements Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or related field Relevant certifications in data management, cloud platforms, or ETL tools are a plus Proven experience designing, developing, and supporting enterprise data workflows and pipelines Professional Competencies Strong analytical, troubleshooting, and problem-solving skills Effective collaboration and communication across technical and business teams Ability to prioritize tasks and work efficiently in a fast-paced environment Continuous learner with interest in emerging data technologies and automation Attention to detail and adherence to data security and quality standards Ability to adapt to evolving project requirements and technological innovations Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.