Sr. Data Engineer

Company Description Digitrix Software LLP is an offshore IT outsourcing, consulting, and software development company based in India, serving clients across the USA, UK, Canada, Australia, Europe, and India. The company delivers end-to-end software design, development, consulting, and maintenance services, with a strong focus on AI solutions and chatbot development. Digitrix Software LLP builds highly effective and affordable offshore teams to help startups and established businesses scale and innovate. With a track record of successful projects across diverse industries, the company emphasizes reliable, high-quality, and cost-effective solutions. Applicants can expect to join a growing, technology-driven environment that values collaboration, innovation, and client success.

Role Description This is a contract, hybrid Sr. Data Engineer role based in Chennai, with flexibility for partial work from home. The Sr. Data Engineer will design, build, and maintain scalable data pipelines, ensuring reliable Extract Transform Load (ETL) processes from multiple internal and external data sources. Responsibilities include developing and optimizing data models, implementing data warehousing solutions, and enabling robust analytics and reporting for stakeholders. The role involves collaborating closely with data analysts, data scientists, and software engineering teams to define data requirements, improve data quality, and support business intelligence initiatives. The Sr. Data Engineer will also own performance tuning, monitoring, and documentation of data systems, and contribute to best practices, standards, and tooling within the data engineering function.

Qualifications

• Strong data engineering skills, including experience with building and orchestrating data pipelines, working with large datasets, and implementing best practices for reliability and performance.
• Proficiency in data modeling and data warehousing concepts, including star/snowflake schemas, dimensional modeling, and designing scalable analytical data stores.
• Hands-on experience with Extract Transform Load (ETL) design and development, using modern ETL/ELT tools or frameworks and scripting or programming languages (e.g., SQL, Python, Scala).
• Background in data analytics and reporting enablement, including partnering with analytics teams to define data requirements and deliver clean, well-structured datasets.
• Experience with cloud data platforms (e.g., AWS, Azure, or GCP) and related services such as data lakes, warehouses, and workflow orchestration tools.
• Familiarity with version control, CI/CD practices, and monitoring/logging tools in a data engineering context.
• Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Ability to work effectively in a hybrid environment, manage priorities independently, and collaborate with distributed, cross-functional teams.

Mandatory Skills:

(Python, PySpark, SQL, Oracle, PostgresSQL, ETL/ELT, Data Integration, Finance, ERP, Anaplan, Financial System, Structured Data, Unstructured data, AWS - S3, Lambda, Glue)

What you'll do:

• Implement, Administer, Maintain, and Support Financial applications and related systems core to ZZ's operational excellence.

• Design, Develop, Test, Implement and Maintain critical financial integrations, extensions, and add-ons to empower ZZ's continued growth.

• Utilize best practices, standard procedures, and techniques to develop and configure applications.

• Provide daily operational support for production systems including providing on-call support

• Write and maintain clear documentation that describes installation and operating procedures.

• Maintain a strong working hands-on knowledge of the programming languages and tools relevant to our systems.

• Analyze and interpret business requirements to define and develop technical requirements/specifications.

• Participate in technical design, contributing insights and ideas

• Successfully troubleshoot application problems independently or in a team setting.

• Learn and maintain a strong working knowledge of multiple business areas and the applications that support them

• Be able to transform unstructured raw data in to formats suitable for modeling

• Be able to work in a globally distributed team in an Agile/Scrum approach

What you'll need:

 Bachelor's or Master's degree in Computer Science, Applied Statistics, or a related field

 Have 7+ years development experience with Postgres Database  

 Hands on Python programming with 5+ years experience

 Ensure database architectures address business requirements, system scalability, performance, governance, and reliability.

 Lead development of database applications, interfaces, data transfer mechanisms and business intelligence platforms.

 Experience building scalable data models and performing complex relational databases queries using SQL (Postgres and Oracle), etc.

 Able to integrate multiple data sources and databases into one system

 Good to have Experience in AWS like Amazon S3, Amazon Batch, Amazon Lambda, Amazon Glue. 

 processing large amounts of structured and unstructured data

 familiar with version control systems (Git)

 Scrum software development methodology experience is a plus

 Good experience in handling errors/exceptions and debugging the issues in large scale applications. Knowledge of integration and web services technologies 

 Good problem-solving skills 

 Familiarity with CI/CD Pipelines, Jenkins Deployment, Git Repository.

 Excellent verbal and written communication skills