What You'll Work On

- Support client engagements as a contributing project team member

- Assist in gathering and understanding business and technical requirements

- Translate requirements into technical tasks under guidance from senior team members

- Support preparation of presentations, documentation, and deliverables

- Develop and support data solutions leveraging:

- Snowflake (data warehousing, data storage)

- Databricks (data processing, Spark workloads)

- AWS ecosystem (S3, Glue, Redshift, Lambda, EMR, IAM)

- Microsoft Fabric / Azure (Synapse, ADF)

- DataVault Data Automation

- Build and maintain data pipelines (primarily batch, with exposure to near real-time)

- ETL/ELT development and data integration processes

- Contribute to development of data platforms including data lakes and data warehouses

- Follow established best practices for coding, testing, and performance optimization

- Support senior team members in troubleshooting and resolving data issues

- Participate in code reviews, testing, and quality assurance activities

- Manage assigned tasks and deliver them within project timelines with minimal oversight

- Assist with analytics and reporting by preparing curated datasets

- Support advanced analytics initiatives such as machine learning data preparation

- Stay current with tools, technologies, and best practices through continuous learning

- Support data governance, data quality, and documentation efforts

- Follow data security and compliance standards

- Contribute to maintaining metadata, lineage, and technical documentation

What You'll Bring

- Bachelors degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, or related field





- 3-5 years of experience in data engineering, analytics, or related technical roles

- Foundational experience with:

- SQL and basic data modeling concepts

- ETL/ELT processes and data integration

- Exposure to cloud platforms such as AWS, Azure, or GCP

- Familiarity with tools such as Snowflake, Databricks, or similar platforms is a plus

- Exposure to programming languages such as Python or Scala is preferred

- Basic understanding of modern data architecture concepts (data lakes, warehouses)

- Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus

- Strong analytical and problem-solving skills

How You Work

- Need to be proactive and look for ways to pitch in

- Someone who is customer oriented and quality driven

- Much be able to handle multiple priorities and have good time management

- This is an ever-changing landscape so the ability to be flexible with routines is important

- Thinking outside the box to find better ways of working to deliver for clients and internally

Bonus Points If You Have

- Datavault Experience - VaultSpeed, DataVault Builder, Wherescape

- High attention to detail and commitment to quality

- Effective communication and teamwork skills

- Ability to learn quickly and adapt in a consulting-driven, fast-paced environment

- Demonstrated curiosity and interest in data engineering, analytics, and emerging technologies

What Success Looks Like

- Quick to develop strong client relationships

- Assist leadership with growing business

- Identifying new ways to contribute

- Become invaluable to clients

- Is a go to person for leadership to develop and deliver

- Working in a team-oriented environment and supporting those around them.

📌 Data Engineering - Consultant (Hyderabad)
🏢 Genesis Tech Solutions
📍 Hyderabad