Datavail is Hiring Junior SQL/ETL Developer | Mumbai/Bangalore/Hyderabad | Freshers

Job Description

Datavail's 𝐉𝐮𝐧𝐢𝐨𝐫 𝐒𝐐𝐋/𝐄𝐓𝐋 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 opening is a practical option for freshers who want to build a career around 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, and 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 rather than general software development. The role is particularly relevant because it covers several foundational areas at once: 𝐒𝐐𝐋, 𝐄𝐓𝐋, 𝐝𝐚𝐭𝐚 𝐪𝐮𝐚𝐥𝐢𝐭𝐲, 𝐝𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠, 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠, and 𝐜𝐥𝐨𝐮𝐝 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬. It is also open to candidates with 0–1+ years of experience and accepts any degree, making the entry barrier more accessible than many specialized data engineering roles. However, candidates should understand that this is not purely a development position; the 𝟐𝟒𝐱𝟕 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 and 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫-𝐬𝐮𝐩𝐩𝐨𝐫𝐭 component gives the role a meaningful operations and production-support dimension.

WHAT THE ROLE ACTUALLY INVOLVES:

The day-to-day work will likely combine 𝐒𝐐𝐋-𝐛𝐚𝐬𝐞𝐝 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐭𝐚𝐬𝐤𝐬 with monitoring and maintaining data movement processes. A fresher can expect to spend time writing queries, checking whether data is arriving correctly, investigating basic pipeline or storage problems, and escalating more complex issues to experienced engineers. The monitoring side means candidates may also work with dashboards and incident-management systems while supporting customer environments. The biggest learning curve will probably be understanding how individual 𝐒𝐐𝐋 𝐪𝐮𝐞𝐫𝐢𝐞𝐬 fit into larger 𝐄𝐓𝐋 and 𝐝𝐚𝐭𝐚-𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 workflows, especially when troubleshooting a problem that affects an entire data pipeline rather than a single database query.

SKILLS ANALYSIS:

𝐒𝐐𝐋 is clearly the most important technical foundation for this position because it connects database querying, data validation, troubleshooting, and several parts of the broader ETL workflow. The second major area is understanding how data moves between systems, including basic 𝐄𝐓𝐋, 𝐝𝐚𝐭𝐚 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠, and pipeline concepts. These fundamentals are commonly self-taught by Indian freshers through projects and practice, but production data quality and pipeline troubleshooting require more practical exposure. Knowledge of 𝐀𝐖𝐒 or 𝐀𝐳𝐮𝐫𝐞 can differentiate candidates, although the posting treats cloud familiarity as useful rather than the central requirement.

Our Take:

- 𝐆𝐨𝐨𝐝 𝐟𝐨𝐫: Freshers who enjoy 𝐒𝐐𝐋, 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, and troubleshooting and want to gradually move toward ETL, BI, or cloud data engineering roles.

- 𝐍𝐨𝐭 𝐢𝐝𝐞𝐚𝐥 𝐟𝐨𝐫: Candidates expecting a pure 𝐏𝐲𝐭𝐡𝐨𝐧/𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 position or a role focused mainly on building new applications, because this opening has substantial monitoring, support, maintenance, and incident-handling responsibilities.

- 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐝𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭𝐲: Moderate — the formal eligibility requirement is broad, but candidates still need genuine 𝐒𝐐𝐋 ability and should understand ETL, data warehousing, and basic data-quality concepts rather than relying only on theoretical knowledge.

- 𝐂𝐚𝐫𝐞𝐞𝐫 𝐭𝐫𝐚𝐣𝐞𝐜𝐭𝐨𝐫𝐲: This role can provide a foundation for 𝐒𝐐𝐋 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫, 𝐄𝐓𝐋 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫, 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, 𝐁𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫, 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, or 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 roles as technical responsibility increases.

𝐂𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐞𝐱𝐭: Datavail has not stated compensation for this opening in the supplied posting. A reliable role-specific salary estimate cannot be confirmed from the available information, and entry-level SQL/ETL compensation can vary based on location, technical skills, shift requirements, and the amount of production-support responsibility.

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Candidates should avoid presenting themselves as only "𝐒𝐐𝐋 𝐥𝐞𝐚𝐫𝐧𝐞𝐫𝐬." A stronger resume would demonstrate practical work such as building a small 𝐄𝐓𝐋 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞, designing a 𝐫𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐝𝐚𝐭𝐚 𝐦𝐨𝐝𝐞𝐥, writing complex SQL queries, validating data quality, or working with a cloud database. If you have used 𝐀𝐖𝐒 or 𝐀𝐳𝐮𝐫𝐞, MSBI tools, ServiceNow, or any pipeline-monitoring platform, place that experience prominently because it connects directly with the operational side of the position.

Roles & Responsibilities

The position combines junior-level data development with production monitoring and technical support. Engineers will work with databases and data pipelines while also watching for operational problems, checking data quality, investigating straightforward issues, and involving senior team members when an incident requires deeper expertise.

- Write and execute SQL queries for database-related tasks

- Perform basic data-quality checks

- Support ETL and data-pipeline maintenance

- Monitor data pipelines and related systems

- Investigate basic performance and data issues

- Troubleshoot problems under senior guidance

- Monitor operational dashboards and support incidents

- Assist with data storage and warehouse-related processes

- Escalate complex technical issues to senior engineers

- Support customer-related technical queries

- Work with established monitoring and incident-management processes

Qualifications & Eligibility

The formal eligibility criteria are relatively accessible for freshers because Datavail accepts any degree and the experience range begins at 0 years. The technical expectations are still meaningful, however, with SQL and foundational data-engineering concepts forming the real qualification barrier.

- Any Degree

- 0–1+ years of experience

- Mumbai, Bangalore, or Hyderabad location

- On-site work arrangement

- Strong understanding of SQL

- Familiarity with MSBI

- Basic knowledge of data modeling

- Understanding of ETL concepts and data warehousing

- Basic understanding of data quality checks

- Familiarity with AWS or Azure is useful

Skills Required

SQL is the primary technical skill, followed by ETL and data-management fundamentals; cloud familiarity and strong troubleshooting and communication abilities can strengthen the overall profile.

- SQL

- MSBI

- ETL concepts

- Data modeling

- Data warehousing

- Data quality validation

- Data pipeline monitoring

- Database troubleshooting

- AWS or Azure familiarity

- Problem-solving

- Communication skills

- Willingness to learn