data
Posted May 7Senior Data Engineer
at Techwave
On-site
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Responsibilities
- Lead the onboarding of new data sources by performing source data profiling, documenting assumptions, validating data completeness and quality, and recommending integration and modeling approaches.
- Implement and optimize data transformations and analytical models to deliver high‑quality, analytics‑ready datasets that support reporting, advanced analytics, and downstream data products.
- Own schema evolution and change management processes, proactively assessing downstream impacts and coordinating changes to ensure data stability and continuity.
- Collaborate closely with data analysts, data architects, product teams, and business stakeholders to translate data
Requirements
- We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life.
- experience with at least one programming language such as Python for data processing and automation.
- Strong working knowledge of cloud‑native data services and architectural concepts, including storage layers, compute separation, scalability, and cost‑aware design. Hands‑on
- experience integrating data from diverse sources, including APIs, CSV, JSON, XML, Dataverse, and multiple database technologies into centralized data platforms.
- Strong understanding of ETL / ELT patterns, data modeling techniques (dimensional, analytical, and domain‑oriented models), and the end‑to‑end data lifecycle. Practical
- experience working with modern data platforms such as Snowflake or Microsoft Fabric, across data warehouse, data lake, and Lakehouse architectures.
- Experience designing or supporting semantic layers and analytics consumption patterns, including BI tools, metrics definitions, and curated datasets. Solid
- Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, Analytics, or equivalent practical experience. 4–7 years of relevant
- experience in data engineering, analytics engineering, or related technical roles, with demonstrated progression in responsibility and technical ownership. 5+ years of Data Analyst or Business Data Analyst
- experience in enterprise data environments. Preferred:
- Experience in professional services, accounting industry, or client service/consultative technology roles.
- Experience with ETL/ELT tools (Informatica, DBT).
- Experience with BI/reporting tools (Power BI, Tableau, Excel).
- Experience with data modeling methodologies (Dimensional modeling, Data Marts, Data Warehousing, Star/Snowflake schema).
- Familiarity with cloud data platforms (Azure, AWS, GCP).
Additional details
- Techwave , we are always in an exercise to foster a culture of growth, and inclusivity.
- Who are we? Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations.
- We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT).
- Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth.
- Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible.
- experience Location: Hyderabad Summary The Data Engineer (Senior Associate) leads the design and implementation of scalable, reliable data pipelines and data models that enable enterprise analytics and data products.
- This role owns complex data engineering solutions, drives best practices for quality and performance, and mentors junior engineers while partnering with stakeholders to deliver high-impact data capabilities.
- Responsibilities Design, build, and maintain robust batch and streaming data pipelines, and lead the development of reusable data pipeline components, templates, and utilities aligned to established engineering standards, patterns, and reference architectures.