๐ Hiring: Career Opportunity: Senior Data Engineer at Kanerika Software
Location: Hyderabad, Ahmedabad, Indore
Experience: 5–7 years
Compensation: Up to ₹25L / year (Varies)
Job Source: Cutshort.io
Role Overview
Hiring a Senior Data Engineer to design, develop, and implement modern data pipelines, data models, and ETL/ELT processes. This role involves architecting and optimizing data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake, while enabling business analytics and self-service reporting through Power BI.
You’ll collaborate with data scientists, analysts, and business users to deliver high-performance data solutions, enforce best practices in data governance and security, and mentor junior engineers.
Key Responsibilities
- Design and implement data pipelines, models, ETL/ELT processes.
- Architect and optimize data lake/warehouse solutions (Microsoft Fabric, Databricks, Snowflake).
- Enable analytics and reporting via Power BI and visualization tools.
- Collaborate with cross-functional teams to deliver reliable solutions.
- Implement data governance, quality, and security standards.
- Mentor junior engineers and establish coding/design best practices.
- Evaluate emerging technologies to improve the data ecosystem.
Required Qualifications
- Bachelor’s/Master’s in Computer Science, IT, or Engineering.
- 5–7 years of experience in data engineering or platform development, with 2–3 years in a lead/architect role.
- Strong hands-on experience with:
- Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)
- Databricks (Spark, Delta Lake, PySpark, MLflow)
- Snowflake (Data Warehousing, Snowpipe, Performance Optimization)
- Power BI (Data Modeling, DAX, Report Development)
- Proficiency in SQL, Python, Scala.
- Experience with Azure, AWS, or GCP cloud data services.
- Solid understanding of data modeling, governance, security, CI/CD practices.
Preferred Qualifications
- Familiarity with Power BI data modeling techniques.
- Knowledge of Azure Databricks or other frameworks.
- Experience with Microsoft Fabric or other cloud platforms.
Employee Benefits
- ๐ Culture: Open door policy, flexible hours, referral bonuses, bi-annual appraisals.
- ๐ค Inclusivity: Diverse hiring practices, mandatory POSH training.
- ๐ฅ Health & Wellness: GMC, term insurance, disability coverage.
- ๐จ๐ฉ๐ง Parental Benefits: Family events, generous parental leave, family medical leave.
- ๐ Perks & Time-Off: Outings, gratuity, provident fund, generous PTO, paid sick days, holidays, bereavement leave.
- ๐ Professional Development: Mentorship programs, job training, certification reimbursements, internal promotions.
๐ Why Join Kanerika?
- Work with a passionate, innovative team in a growth-oriented environment.
- Gain hands-on experience with real-world projects in data and AI.
- Learn from experienced professionals and enhance your skills.
- Contribute to impactful initiatives from day one.
- Be part of an award-winning company recognized for data and AI excellence.
๐ Apply now
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