Senior Data Engineer
Sigmoid
5 - 10 years
Bengaluru
Posted: 19/04/2026
Job Description
Were Hiring: Azure Data Engineer (SDE-2)
Location: Bengaluru (Hybrid)
Experience: 36 Years
Joining Preference: Immediate / Early Joiners - 30days only
About Us
We are a fast-growing analytics and data engineering organization enabling global enterprises to build modern data platforms on Azure. Our teams specialize in large-scale ETL pipelines, Databricks, PySpark, and cloud data warehousing to power advanced analytics and AI-driven use cases.
If you are passionate about coding, problem-solving, and building scalable data solutions, this opportunity is for you.
Role Overview
As a Data Engineer, you will be responsible for designing and developing robust data pipelines, optimizing data transformations, and collaborating with analytics teams to deliver high-quality, reliable data platforms on Azure.
Must-Have Skills
- Strong hands-on experience in Python
- Solid expertise in SQL (joins, aggregations, query optimization)
- Experience in building ETL / ELT data pipelines
- Hands-on experience with Azure Cloud (Preferred)
- Working knowledge of Git / version control
Mandatory Requirement:
- Proficiency in Data Structures & Algorithms (DSA)Arrays, strings, lists, dictionaries, sets
- Basic problem-solving and logical thinking
- Understanding of time and space complexity
Educational Qualification (Mandatory):
- B.E / B.Tech (Bachelors in Engineering)
- OR BCA + MCA
- B.Sc candidates are not eligible for this role
Good to Have
- Experience with PySpark and Databricks
- Familiarity with Azure stack (ADF, Synapse, ADLS)
- Experience with Snowflake is an added advantage
- Knowledge of Data Warehousing / Lakehouse concepts
- Experience in Spark performance tuning
- Exposure to REST API integrations
Important Note:
Candidates without DSA coding knowledge or the required educational qualifications are requested not to apply.
If you meet the above criteria and are excited to build and scale modern data platforms, we encourage you to apply using the link below:
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