Chennai
INR 14.0 - 16.0 Lacs P.A.
Work from Office
Full Time
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.
Chennai, Tamil Nadu, India
Not disclosed
Remote
Full Time
π Now Hiring: Senior Data Engineers β Azure & DBT/Snowflake π Location: Chennai (Hybrid) π Experience: 5+ Years π’ Openings: 4 π Employment Type: Full-time About the Role Weβre looking for an experienced Senior Data Engineer whoβs passionate about building modern data platforms and solving complex data challenges. Youβll work across cloud technologies like Azure, Snowflake, DBT, and Databricks to architect, develop, and scale our data infrastructure. If youβre excited about optimizing data pipelines, enabling better analytics, and shaping data architecture β this role is for you! What Youβll Do β Design and build scalable data pipelines using Azure Data Factory, Databricks, and Snowflake β Develop modular and reusable data models with DBT β Transform and load data from diverse sources into cloud-based data lakes and warehouses β Ensure data accuracy, security, and performance at every step β Collaborate with data analysts, product teams, and business stakeholders β Maintain clean code with unit tests and clear documentation β Drive automation, CI/CD, and process improvement initiatives What Weβre Looking For πΉ Strong hands-on experience with Azure Data Services (Data Lake, ADF, Synapse, Databricks) πΉ Proficient in DBT and Snowflake for modeling and transformation πΉ Advanced SQL and Python skills πΉ Understanding of data warehouse concepts (dimensional modeling, SCD, CDC) πΉ Familiar with Airflow, Fivetran, Glue, or similar tools πΉ Comfortable working in Agile environments and cross-functional teams πΉ Great communication skills and a proactive mindset #DataEngineer #Azure #Snowflake #DBT #Databricks #Hiring #TechJobs #DataJobs #RemoteJobs #SQL #Python Show more Show less
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