Data Engineer | Python, PySpark, Cloud Data Platforms
- Synechron
- 6 - 11 years
- Mumbai
- 14 days ago
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Job Description
Job Summary
Synechron is seeking an experienced IDMC (Informatica Intelligent Data Management Cloud) Developer to design, implement, and maintain enterprise data integration solutions. This role involves building scalable ETL workflows, managing data pipelines, and ensuring data quality, security, and compliance across cloud and on-premise environments. The ideal candidate will leverage their expertise in cloud data services, API management, and data governance to support digital transformation, enable data-driven insights, and deliver high-quality, reliable data solutions aligned with business objectives.
Synechron is seeking an experienced IDMC (Informatica Intelligent Data Management Cloud) Developer to design, implement, and maintain enterprise data integration solutions. This role involves building scalable ETL workflows, managing data pipelines, and ensuring data quality, security, and compliance across cloud and on-premise environments. The ideal candidate will leverage their expertise in cloud data services, API management, and data governance to support digital transformation, enable data-driven insights, and deliver high-quality, reliable data solutions aligned with business objectives.
Software Requirements
Required Software Proficiency:
- Informatica Cloud Services (IDMC / IICS) hands-on experience in developing and managing data workflows (version 2022 and above preferred)
- SQL (MySQL, Oracle, SQL Server, PostgreSQL) strong skills in data querying, transformation, and optimization
- Cloud platforms: AWS, Azure, or GCP familiarity with data services and migration in cloud environments
- API management: REST APIs, Web Services ability to design, consume, and manage API integration workflows
- Data integration tools and platforms supporting data pipelines and application integration
- Data governance and security frameworks supporting enterprise compliance
Preferred Software Skills:
- Automation tools: CI/CD pipelines (Jenkins, Azure DevOps, GitLab) for automation of deployment and workflows
- Data modeling, data warehouse concepts, and metadata management tools
- Cloud automation frameworks: Terraform, CloudFormation for infrastructure as code and environment provisioning
Overall Responsibilities
- Design, develop, and optimize scalable ETL/ELT workflows supporting enterprise data ingestion, transformation, and migration
- Build and maintain resilient data pipelines supporting analytics, reporting, and compliance needs in cloud and hybrid environments
- Collaborate with data architects, analysts, and developers to capture requirements and deliver robust data solutions
- Conduct data validation, reconciliation, and security assessments to ensure data quality and regulatory compliance, including GDPR and HIPAA
- Support data migration projects, system upgrades, and cloud adoption initiatives
- Implement data governance principles, access controls, and encryption measures to protect sensitive data
- Monitor, troubleshoot, and optimize data pipeline performance, resolving issues proactively
- Automate deployment processes, infrastructure provisioning, and workflow orchestration using Terraform, CloudFormation, and CI/CD tools
- Maintain detailed documentation of data architecture, workflows, security protocols, and operational procedures
Technical Skills (By Category)
- Languages Data Tools (Essential):
- SQL (MySQL, Oracle, PostgreSQL, SQL Server): data validation, queries, and performance tuning
- PySpark, Spark SQL: large-scale data processing and transformation workflows
- IDMC / IICS: designing, deploying, and managing cloud-native data pipelines
- Databases Data Management:
- Relational databases, data modeling, and data warehousing concepts supporting enterprise analytics
- Metadata management and data lineage tools supporting compliance
- Cloud Technologies:
- AWS, Azure, or GCP data services, supporting deployment, integration, and migration
- Cloud automation tools like Terraform or CloudFormation (preferred)
- Frameworks Libraries:
- PySpark, Delta Lake, Dataflow for data processing and lakehouse architectures
- Tools Methodologies:
- CI/CD pipelines, Git, Terraform, Agile/Scrum practices supporting DevOps and continuous delivery
- Security Compliance:
- Knowledge of encryption, role-based access controls, and data privacy standards (GDPR, HIPAA)
Experience Requirements- 5+ years of experience supporting enterprise-scale data pipelines and cloud data solutions
- Demonstrated expertise in designing, deploying, and managing data integration workflows in cloud environments
- Proven ability to support data migration, data quality assurance, and compliance initiatives
- Experience with analytics data platforms supporting business intelligence and reporting in regulated industries (preferred)
- Background supporting or implementing data governance, security, and privacy policies
Day-to-Day Activities- Develop, test, and maintain scalable ETL/ELT workflows supporting analytics, migration, and compliance
- Collaborate with business, data science, and application teams to capture and implement data requirements
- Monitor data pipelines, troubleshoot failures, and implement fixes to improve system reliability and performance
- Support data migration efforts, including schema validation, data transformation, and validation tasks
- Ensure data security, encryption, and access control measures are enforced across systems
- Automate environment setup, deployment, and management using Terraform, CI/CD, and cloud automation tools
- Document data architecture, process workflows, and security requirements for operational governance
- Stay current with emerging cloud, big data, and data governance trends, sharing insights to improve solutions
Qualifications- Bachelors or Masters degree in Data Engineering, Computer Science, or related technical discipline
- 6+ years supporting enterprise data platforms, cloud data migration, and big data solutions
- Relevant certifications such as AWS Data Analytics, GCP Professional Data Engineer, or Azure Data Engineer are a plus
- Proven experience designing compliant, secure, and high-performance data pipelines supporting regulated industries
Professional Competencies- Strong analytical and troubleshooting skills for complex data processing issues
- Leadership qualities to guide junior engineers and promote best practices
- Effective communication skills for stakeholder engagement and technical documentation
- Adaptability to evolving cloud architectures, data standards, and regulatory requirements
- Innovative mindset to leverage new tools, frameworks, and data management techniques
- Time management skills to prioritize tasks effectively in a fast-paced environment
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: SynechronLocation(s): Mumbai+ View Contact
Keyskills: Data Engineer Compliance Devops Data Science Agile Scrum Aws Python Pyspark Azure Architecture Postgresql Sql Server Big Data Data Platforms Sql Jenkins Git Gcp Cloudformation Cloud Mysql Learning And Development Spark Gitlab
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\\\\n\\\\n \\\\r\\\\nAbout the Company: With over 3 decades of presence in the outsourcing sector, we have developed robust capabilities in spheres as diverse as medical transcription, registry and share transfer, e-publishing and data management.Cameo has a pan India presence with operating hubs in...
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