Senior Data Engineer

Keka Technologies Private Limited; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Job summary

Impact Analytics is seeking a Senior Data Engineer to expand and optimize end-to-end data pipelines and architecture. You will collaborate with software developers, data scientists, and analysts to deliver reliable data delivery and analytics across the organization.

The role requires 4–6 years of relevant data engineering experience, with hands-on experience in ClickHouse and Databricks, and strong SQL/data modelling skills.

Qualifications

• Graduate or Postgraduate in Computer Science or in similar quantitative area (B. Tech/B.E. or M. Tech/M.E. in Computers, IT)
• 4 to 6 years of relevant work experience as a Data Engineer or in a similar role.
• A minimum of one year of experience with ClickHouse is required.
• Must have 3+ years of work experience in Databricks
• Hands-on experience with multiple databases, Python tools and ability to solve complex business problems using data.
• Advanced SQL knowledge, Data-Modelling and experience with relational and NoSQL databases.
• Experience with ETL pipelines, big data pipelines, and data-driven architectures.
• Strong knowledge of Python scripting and OS Linux/Windows.

Responsibilities

• Develop, construct, test and maintain data-driven architectures.
• Align architecture with business requirements and provide data solutions.
• Build infrastructure for extraction, transformation, and loading using SQL and AWS big data technologies.
• Data acquisition from multiple sources across the organization.
• Use programming tools to collate data and improve data quality.
• Deliver analytics-driven updates to stakeholders and set up data reporting practices.

Skills

Python programming

SQL mastery

Analytical skills

Data modeling

Cross-functional collaboration

Education

B.Tech/B.E. or M.Tech/M.E. in Computers/IT

Tools

ClickHouse

Databricks

Hadoop

Spark

Hive

Postgres

Cassandra

GCS / BigQuery

Python

Job description

Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made.

What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.

For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

We are looking for a Senior Data Engineer to join our data team to solve data-driven critical business problems. The person in this role will be responsible for expanding and optimizing the existing end-to-end architecture including the data pipeline architecture. The Data Engineer will collaborate with software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture (consistency throughout ongoing projects). The right candidate should have hands‑on experience in developing a hybrid set of data‑pipelines depending on the business requirements.

What this role entail

• Develop, construct, test and maintain existing and new data‑driven architectures.
• Align architecture with business requirements and provide solutions which fits best to solve the business problems
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS - big data- technologies.
• Data acquisition from multiple sources across the organization.
• Use programming language and tools efficiently to collate the data
• Identify ways to improve data reliability, efficiency, and quality.
• Use data to discover tasks that can be automated
• Deliver updates to stakeholders based on analytics
• Set up practices on data reporting and continuous monitoring

What lands you in this role

• Graduate or Postgraduate in Computer Science or in similar quantitative area (B. Tech/B.E. or M. Tech/M.E. in Computers, IT)
• 4 to 6 years of relevant work experience as a Data Engineer or in a similar role.
• A minimum of one year of experience with ClickHouse is required. ClickHouse database competency as mandatory.
• Must have 3+ years of work experience in Databricks
• Hands‑on experience on different databases, python tools and ability to solve complex business problems using data.
• Advanced SQL knowledge, Data-Modelling and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience in developing and optimizing ETL pipelines, big data data pipelines, and data-driven architectures.
• Strong knowledge in programming using Python Shell.
• Strong analytical skills related to working with different types of datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong knowledge of working with different OS Linux, Windows, etc.
• Experience with big data tools: Hadoop, Spark, Hive, etc
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with GCP cloud services: GCS, Big query, VMs.
• Experience with object-oriented/object function scripting languages: Python

What we offer

• An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
• Opportunities to quench your thirst for problem‑solving, experimenting, learning, and implementing innovative solutions.
• A flat, collegial work environment, with a work hard, play hard attitude.
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best in class industry standards with generous health insurance cover.

Some of our accolades include:

• Ranked as one of America's Fastest‑Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest‑Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America's Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting‑edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.