Senior Data Engineer - IICS | Systech Solutions Inc. Senior Data Engineer IICS Systech is a modern Data and Analytics consulting firm, helping clients embed data-driven capabilities into their business operations. We offer end-to-end data engineering services and outcomes-based analytics solutions, to drive your business forward in the digital age. Systech has over 30 years of experience, delivering 1500+ projects to industry-leading brands across the world. Job Description: We are looking for a skilled and motivated Senior Data Engineer to join our data integration and analytics team. The ideal candidate will have hands-on experience with Informatica IICS, AWS Redshift, Python scripting, and Unix/Linux systems. You will be responsible for building and maintaining scalable ETL pipelines to support business intelligence and analytics needs. A strong passion for continuous learning, problem-solving, and enabling data-driven decision-making is highly valued. Primary Skills: Secondary Skills: Role Description: We are looking for a Senior Data Engineer to lead the design, development, and management of scalable data platforms and pipelines. This role demands a strong technical foundation in data architecture, big data technologies, and database systems (both SQL and NoSQL), along with the ability to work across functional teams to deliver robust, secure, and high-performing data solutions. Role Responsibility: Design, develop, and maintain end-to- end data pipelines and infrastructure. Translate business and functional requirements into scalable, well- documented technical solutions. Build and manage data flows across structured and unstructured data sources, including streaming and batch integrations. Ensure data integrity and quality through automated validations, unit testing, and robust documentation. Optimize data processing performance and manage large datasets efficiently. Collaborate closely with stakeholders and project teams to align data solutions with business objectives Implement and maintain security and privacy protocols to ensure safe data handling Lead development environment setup and configuration of tools and services Mentor junior data engineers and contribute to continuous improvement and automation initiatives Coordinate with QA and UAT teams during testing and release phases Role Requirement: Strong proficiency in SQL (including procedures, performance tuning, and analytical functions). Solid understanding of data warehousing concepts, including dimensional modeling and SCDs Hands-on experience with scripting languages (Shell / PowerShell). Familiarity with Cloud and Big data technologies. Experience working with relational, non-relational databases, and data streaming systems. Proficiency in data profiling, validation, and testing practices Excellent problem-solving, communication (written and verbal), and documentation skills Exposure to Agile methodologies and CI/CD practices Self-motivated, adaptable, and capable of working in a fast-paced environment Additional Requirement: Overall 5 years and 3+ years of hands-on experience with Informatica IICS (Cloud Data Integration, Application Integration). Strong proficiency in AWS Redshift and writing complex SQL queries. Solid programming experience in Python for scripting, data wrangling, and automation. Experience with version control tools like Git and CI/CD workflows. Knowledge of data modeling and data warehousing concepts. Prior experience with data lakes and big data technologies is a plus. This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities... Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information. Non-necessary Non-necessary Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
🚀 Now Hiring: Senior Data Engineers – Azure & DBT/Snowflake 📍 Location: Chennai (Hybrid) 🕒 Experience: 5+ Years 🔢 Openings: 4 📌 Employment Type: Full-time About the Role We’re looking for an experienced Senior Data Engineer who’s passionate about building modern data platforms and solving complex data challenges. You’ll work across cloud technologies like Azure, Snowflake, DBT, and Databricks to architect, develop, and scale our data infrastructure. If you’re excited about optimizing data pipelines, enabling better analytics, and shaping data architecture — this role is for you! What You’ll Do ✅ Design and build scalable data pipelines using Azure Data Factory, Databricks, and Snowflake ✅ Develop modular and reusable data models with DBT ✅ Transform and load data from diverse sources into cloud-based data lakes and warehouses ✅ Ensure data accuracy, security, and performance at every step ✅ Collaborate with data analysts, product teams, and business stakeholders ✅ Maintain clean code with unit tests and clear documentation ✅ Drive automation, CI/CD, and process improvement initiatives What We’re Looking For 🔹 Strong hands-on experience with Azure Data Services (Data Lake, ADF, Synapse, Databricks) 🔹 Proficient in DBT and Snowflake for modeling and transformation 🔹 Advanced SQL and Python skills 🔹 Understanding of data warehouse concepts (dimensional modeling, SCD, CDC) 🔹 Familiar with Airflow, Fivetran, Glue, or similar tools 🔹 Comfortable working in Agile environments and cross-functional teams 🔹 Great communication skills and a proactive mindset #DataEngineer #Azure #Snowflake #DBT #Databricks #Hiring #TechJobs #DataJobs #RemoteJobs #SQL #Python Show more Show less
Job Description: We are looking for a skilled and experienced Alteryx Platform Administrator to join our team! As part of the data engineering group, you will play a key role in supporting, maintaining, and optimizing the Alteryx platform, while driving scalable and efficient data workflows across the organization. If you are passionate about data engineering, enjoy solving complex data problems, and love working with modern data platforms, this job is for you! Primary Skills: Alteryx Secondary Skills: Database (Any), ETL & Performance Testing, SQL/TSQL Role Description Responsible for administering and maintaining data integration platforms (on-premises and cloud environments). Duties include performance monitoring, backup and recovery, user access management, workflow scheduling, platform upgrades, and providing multi-level technical support. Role Responsibility Administer and maintain the data integration platform ensuring high availability and optimized performance across on-premises and cloud. Implement and manage backup, restore, and archival processes suitable for hybrid environments. Monitor platform health, analyze metrics, and execute capacity planning and resource optimization. Manage workflow/job scheduling and orchestration for efficient execution. Perform platform upgrades, patching, and version control with minimal downtime. Configure and maintain user roles, permissions, and access controls securely. Provide multi-level technical support, addressing issues from basic monitoring to complex troubleshooting. Support the deployment and migration of workflows and related components. Conduct regular performance assessments and implement improvements. Maintain thorough documentation of configurations, workflows, and incident logs. Generate reports on platform usage, performance, and user activity. Enforce security policies and ensure compliance with organizational standards. Collaborate with DevOps, Cloud, and Security teams for platform integration and optimization. Design and implement scalability, resilience, and disaster recovery strategies. Role Requirement Experience managing data integration platforms in both on-premises and cloud environments. Strong knowledge of backup, restore, and disaster recovery strategies for hybrid setups. Proficiency in performance monitoring, capacity planning, and tuning across cloud and on-prem systems. Familiarity with scheduling and orchestration tools for diverse infrastructures. Expertise in user access control, roles, and permissions management. Skilled in platform upgrades, patching, and deployment processes. Understanding of security and compliance requirements across cloud and on-prem platforms. Strong documentation and collaboration skills. Up-to-date knowledge of cloud and on-prem data integration technologies and best practices. Additional Requirement Proven experience in Alteryx Server administration, including installation, configuration, and environment setup. Skilled in managing Alteryx Gallery, Controller, Worker, and Database components. Proficiency in configuring and managing user roles, collections, and studio permissions in the Alteryx Server Admin interface. Experience with scheduling workflows, managing job queues, and handling job prioritization in Alteryx Server. Ability to deploy, migrate, and troubleshoot Alteryx workflows, macros, and analytic apps across environments. Expertise in monitoring server health, workflow execution logs, and optimizing server performance using Alteryx logs and built-in diagnostics. Knowledge of backup and recovery procedures for Alteryx Server assets and configuration settings. Ability to configure and manage Active Directory integration and LDAP for user authentication and authorization. Experience with upgrades, patching, and version management of Alteryx Server. Familiarity with Alteryx usage reports, server APIs, and audit logging for governance and compliance tracking. Experience in providing Tiered Support (L1 to L3) for platform users, including issue triaging, environment troubleshooting, and advanced workflow debugging. Understanding of Alteryx licensing models, activation methods, and license key management. Familiarity with server hardening, SSL certificate management, and enforcing security best practices in Alteryx environments.
At Systech Solutions, Inc., a data and analytics firm specializing in cloud, data engineering, AI, and machine learning solutions, you will have the opportunity to leverage your expertise as a Senior Data Engineer - DBT & Snowflake. With over 30 years of industry experience and a global footprint, we focus on empowering businesses to address intricate challenges through the seamless integration of data, business strategy, and technology. Our commitment to a technology-agnostic approach and strategic partnerships with industry leaders enables us to craft tailored solutions across a range of sectors including finance, retail, manufacturing, healthcare, and insurance. By prioritizing efficiency and cost-effectiveness, we have maintained an exceptional customer retention rate exceeding 90% and have been acknowledged by Inc. Magazine for our ability to convert challenges into growth prospects. In this full-time, hybrid role based in Chennai, with the option for some remote work, you will play a pivotal role in designing, implementing, and overseeing data transformation processes utilizing DBT and Snowflake technologies. As a Senior Data Engineer, your responsibilities will encompass the development of data models, execution of ETL processes, and construction of data warehouses. Additionally, you will be tasked with conducting data analytics to address business requirements and collaborating with diverse teams to ensure data integrity and optimize performance. To excel in this role, you should possess a solid background in Data Engineering, Data Modeling, and ETL processes, along with proficiency in Data Warehousing and Data Analytics. A deep understanding of DBT (Data Build Tool) and Snowflake is essential, coupled with exceptional problem-solving abilities and effective communication skills. The role will require you to work autonomously and adapt to a hybrid work environment. Experience in managing extensive datasets and streamlining data processes will be advantageous. A Bachelor's degree in Computer Science, Information Technology, or a related field is required, while prior exposure to industries such as finance, retail, manufacturing, healthcare, or insurance will be beneficial.,
Company Description Systech Solutions, Inc. is an all-inclusive data and analytics firm specializing in cloud, data engineering, AI, and machine learning solutions. With over 30 years of experience and a global reach, we provide efficient, cost-effective strategies to solve complex business problems at the intersection of data, business, and digital technologies. Our tailored solutions have garnered a customer retention rate of over 90% in the past five years. We excel in various sectors, including finance, retail, manufacturing, healthcare, and insurance, enhancing operations, increasing revenue, and boosting customer satisfaction. Recognized by Inc. Magazine, our skilled team turns challenges into growth opportunities through insightful data and technology practices. Responsibilities Architecting and maintaining the Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks Gathering business and information requirements from various product owners across various functional units Designing and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models. Conducting design review sessions and communicating design artifacts with stakeholders. Ensures database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability. Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks Leading and coordinating the design and operationalization of Master Data Management and Data Governance initiatives including custom developed solutions. Working with other members of the project team to support delivery of additional project components associated with cloud data platform. Problem-solving of Data warehouse and ODS application issues and production errors, including high level critical production issues that require immediate attention. Perform other duties as assigned including major new project initiatives. Qualifications Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related field preferred 8+ years of overall software development experience is required primarily with Data warehouse applications. · 3+ years of hands-on development experience in Cloud-based data warehouse platform – primarily AWS Redshift · 2+ yrs of development experience with ETL tools (Informatica, Azure Data Factory, etc) · 3+ years of development experience with Python scripting experience · 3+ years of hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle, etc.); experience with complex stored procedures and functions using SQL · Strong knowledge and experience in OLAP data modeling & design · Demonstrated expertise in performance tuning in various DB environments with large volumes of data. · Experience building and scaling distributed, high available systems in cloud env (Azure / AWS) Expertise in understanding complex business needs, analyzing, designing, and developing solutions. Communication and professional skills and the ability to navigate relationships across business units. Pluses: Financial technology domain knowledge Knowledge of NoSQL DBs (MongoDB / Cassandra / Azure Cosmos DB or similar) Microsoft Azure Data Engineer/services related experience (ADF, Databricks, CosmosDB, Azure SQL, etc)