Data Engineer

Sutherland Company; Hyderabad; Vor Ort; INR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Zusammenfassung

Sutherland is looking for a Data Engineer to design and implement analytics data pipelines and BI-ready data stores. You will develop ETL/ELT processes, model data, and contribute to data architecture to support reporting across enterprise systems.

The role emphasizes SQL optimization, star/snowflake schemas, and collaboration with IT and business teams in a hybrid Pune office setup with standard hours.

Qualifikationen

• Minimum 4+ years of experience as Data Engineer.
• Experience in development, maintenance, and enhancement of ETL/ELT pipelines.
• Knowledge of star/snowflake schemas and data warehousing concepts.
• Strong SQL querying and optimization skills.
• Experience with data governance, data quality, and documentation.

Aufgaben

• Design, implement, and maintain data pipelines and data stores for analytics.
• Develop and optimize ETL/ELT processes and data flows.
• Collaborate with business teams to gather requirements and translate them into technical specs.
• Ensure data modeling and architecture meet functional and non-functional requirements.
• Support production deployments, monitoring, and issue resolution.
• Document data pipelines and metadata; participate in SDLC processes.

Kenntnisse

Data Pipelines (ETL/ELT)

SQL optimization

Data Modeling

Data Warehousing

Star/Snowflake schemas

Data Architecture

Requirements gathering

Strong communication

Ausbildung

Bachelor’s degree

Jobbeschreibung

Company Description:

Sutherland is seeking a reliable and technical person to join us asData Engineer who will play a key role in driving our continued product growth and innovation. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!!

Job Description:

The BIA Data Engineer Designs, implements, and maintains complex data engineering solutions in the Business Intelligence and Analytics team.

Responsible for design, development, implementation, testing, documentation, and support of analytical and data solutions/projects requiring data aggregation/data pipelines/ETL/ELT from multiple sources into an efficient reporting mechanism, database/data warehouse using appropriate tools like Informatica, Azure Data Factory, SSIS. This includes interacting with business to gather requirements, analysis, and creation of functional and technical specs, testing, training, escalation, and follow-up.

Support of the applications would include resolving issues reported by users. Issues could be caused by bugs in the application or user errors or programming errors. Resolution process will include, but not limited to, investigate known bugs on software vendor support website, create tickets or service requests with software vendor, develop scripts to fix data issues, make program changes, test fixes and apply the changes to production.

These tasks and activities will be completed with the help and under the guidance of the supervisor. Participation in team and / or project meetings, to schedule work and discuss status, will be required.

The position also requires staying abreast with changes in technology, programming languages, and software development tools.

Responsibilities:

• Data Pipeline/ETL (40%): Designs and implements data stores and ETL data flows and data pipelines to connect and prepare operational systems data for analytics and business intelligence (BI) systems.
• Support & Operations (10%): Manages production deployments and automation, monitoring, job control and production support. Works with business users to test programs in Development and Quality. Investigates issues using vendor support website(s).
• Data Modeling/Designing Datasets (10%): Reviews and understands business requirements for development tasks assigned and applies standard data modelling and design techniques based upon a detailed understanding of requirements.
• Data Architecture and Technical Infrastructure (10%): Plans and drives the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements. Monitors application of data standards and architectures including security and compliance.
• SDLC Methodology & Project Management (5%): Contributes to technical transitions between development, testing, and production phases of solutions' lifecycle, and the facilitation of the change control, problem management, and communication processes.
• Data Governance and Data Quality (5%): Identifies and investigates data quality/integrity problems, determine impact and provide solutions to problems.
• Metadata Management & Documentation (5%): Documents all processes and mappings related to Data Pipelines work and follows development best practices as adopted by the BIA team
• End-User Support, Education and Enablement (5%): Contributes to training and Data Literacy initiatives within the team and End user community.
• Innovation, Continuous Improvement & Optimization (5%): Continuously improves and optimizes existing Data Engineering assets/processes.
• Partnership and Community Building (5%): Collaborates with other IT teams, Business Community, data scientists and other architects to meet business requirements. Interact with DBAs on data designs optimal for data engineering solutions performance.

RequiredSkills:

• Minimum of 4+ yearsof experience as Data Engineer
• Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas
• Developing complex SQL queries and SQL optimization
• Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture.
• Understanding of Data Architecture
• Knowledge of ETL and data engineering standards and best practices for the design and development of data pipelines and data extract, transform and load processes
• Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both
• Knowledge of data warehousing concepts, including multi-dimensional models and ETL logic for maintaining star-schemas
• Good Understanding of concepts and principles of data modelling.
• Ability to produce, maintain and update relevant data models for specific needs.
• Can reverse-engineer data models from a live system
• SQL programming desirable (i.e., stored procedures dev.)
• Proficient in data analysis, defect identifications and resolutions.
• Strong professional verbal and written communication skills.
• Ability to work with little supervision and within changing priorities.
• Ability to analyze requirements and troubleshoot problems.

Qualifications:

• Bachelor’s degreein Computer Science, Information Technology, or a related field.
• Hybrid work model:In-office on Monday, Wednesday, and Friday.
• Working Time:2:00 PM IST to 11:00PM IST
• Work Location: Pune

Additional Information:

All your information will be kept confidential according to EEO guidelines.