
Job Description
Location: Mumbai (with short/medium-term travel opportunities within India & foreign location)
Experience: 5 -8 years
Job Type: Full-time
About the Role
We are looking for experienced data engineers who can independently build, optimize, and manage scalable data pipelines and platforms. In this role, you’ll work closely with clients and internal teams to deliver robust data solutions that power analytics, AI/ML, and operational systems. You’ll also help mentor junior engineers and bring engineering discipline into our data engagements.
Key Responsibilities
Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases.
Implement scalable data models, data warehouses/lakehouses, and data lakes to support analytics and decision-making.
Collaborate with cross-functional stakeholders to understand business requirements and translate them into technical data solutions.
Drive performance tuning, monitoring, and reliability of data pipelines.
Write clean, modular, and production-ready code with proper documentation and testing.
Contribute to architectural discussions, tool evaluations, and platform setup.
Mentor junior engineers and participate in code/design reviews.
Must-Have Skills
Strong programming skills in Python and advanced SQL expertise.
Deep understanding of data engineering concepts such as ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing.
Experience with distributed data processing frameworks (e.g., Apache Spark, Flink, or similar).
Exposure with Java is mandate
Experience with building pipelines using orchestration tools like Airflow or similar.
Familiarity with CI/CD pipelines and version control tools like Git.
Ability to debug, optimize, and scale data pipelines in real-world settings.
Good to Have
Experience working on any major cloud platform (AWS preferred; GCP or Azure also welcome).
Exposure to Databricks, dbt, or similar platforms is a plus.
Experience with Snowflake is preferred.
Understanding of data governance, data quality frameworks, and observability.
Certification in AWS (e.g., Data Analytics, Solutions Architect) or Databricks is a plus.
Other Expectations
Comfortable working in fast-paced, client-facing environments.
Strong analytical and problem-solving skills with attention to detail.
Ability to adapt across tools, stacks, and business domains.
Willingness to travel within India for short/medium-term client engagements as needed.

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Email: etalenthire[at]gmail[dot com
Satish: 88O 274 97 43
Website: www.glansolutions.com
Google search: Glan Management Consultancy
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ABOUT IDEAPOKE
Emerging Technologies | Bengaluru, India
Ideapoke is a global, fast growing start-up with offices in Bengaluru, Bay Area, Tokyo and Shanghai. Our software, search and insights power the innovation agenda of the largest Fortune 500 and Global 2000 companies worldwide.
Our growth is powered by our people and their unwavering commitment to the company-wide vision, strong work ethic and an entrepreneurial do-it-all spirit. We push the boundaries and break existing thought processes with the strong belief that innovation amplifies success in every piece of work we do and by extension, amplifying the success of our clients.








