Job Description
**SQL Developer – Entry Level** | Hybrid - Pune | Full-time | INR 5.4-13.7 LPA
**About the role:**
- Position within Data Engineering, under the Analytics / Data Analytics vertical
- Level: junior level
- Reports to the functional head for Data Engineering
**What you'll do:**
- Handle core data engineering activities on a day-to-day basis
- Use Power BI/Tableau regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Power BI/Tableau
- Predictive Analytics
- A/B Testing
- Data Visualization
- SQL
- Data Engineering
- B.Tech/B.E
- 0+ years of relevant experience
**Good to know:**
- High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Learning and certification support is available for tools and frameworks directly relevant to the role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
**About the role:**
- Position within Data Engineering, under the Analytics / Data Analytics vertical
- Level: junior level
- Reports to the functional head for Data Engineering
**What you'll do:**
- Handle core data engineering activities on a day-to-day basis
- Use Power BI/Tableau regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Power BI/Tableau
- Predictive Analytics
- A/B Testing
- Data Visualization
- SQL
- Data Engineering
- B.Tech/B.E
- 0+ years of relevant experience
**Good to know:**
- High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Learning and certification support is available for tools and frameworks directly relevant to the role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.