Kanerika
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Internet & Web Services · 201 to 500 Employees · Austin, India
Kanerika is a team of innovation-driven software design and development specialists, focused on helping you envision and execute industry-leading applications. From idea to conceptualization and reality conversion, Kanerika helps build empowered technology ecosystems spanning across Big Data, Data Services, and Data Analytics, AI and ML.
Hiring: Engineering
What employees say
+ I joined few years back, so faar my experience good entry level for career opportunity....
− Overall good here , no cons
More reviews on the company profile.
Interview experience · Software Engineer
It was very easy ,they asked bubble sort ,dbms , sql ,oops ,overall process was very smooth ,I really liked it ,although they didnot select me , ughh but yeah I performed well
Average difficulty · Bengaluru · 46 reports
More interview insightsJob description
Overview
As one of the founding members of Kanerika's Databricks delivery practice, you will be a hands-on builder responsible for designing, developing, and optimizing data pipelines on Databricks for client engagements.
Responsibilities
- Design, build, and optimize ETL/ELT data pipelines on Databricks using PySpark and Spark SQL.
- Build and maintain incremental ingestion pipelines using Auto Loader and structured streaming, including checkpoint management and schema evolution handling.
- Implement and maintain Delta Lake tables (including Change Data Feed and liquid clustering), Unity Catalog structures, and Databricks Workflows for client and internal projects.
- Build reusable accelerators, templates, and demo environments to support pre-sales and speed up future client delivery.
- Collaborate with the Practice Lead/Architect on solution design for client engagements, providing engineering-level input on feasibility and effort.
- Perform data quality checks, performance tuning, and cost optimization on Databricks clusters and jobs.
- Participate in client-facing technical discussions as needed, including discovery sessions and technical walkthroughs.
- Write clean, well-documented, and testable code following team engineering standards.
- Mentor junior engineers as the team scales, and contribute to internal knowledge-sharing and best-practice documentation.
- Troubleshoot and resolve production data pipeline issues across client environments.
- Stay current with Databricks platform releases across Unity Catalog, Lakeflow Declarative Pipelines, and share learnings with the team through internal knowledge sessions and documentation.
Qualifications
- 5–9 years of data engineering experience, with at least 2 years of hands-on Databricks experience in production.
- Strong proficiency in PySpark and/or Spark SQL for large-scale data processing.
- Practical experience with Delta Lake, Unity Catalog, and Databricks Workflows/job orchestration.
- Solid SQL skills and experience with data modeling for analytics/lakehouse architectures.
- Familiarity with CI/CD practices for data pipelines (Git-based workflows, automated testing/deployment).
- Strong debugging and performance-tuning skills for Spark jobs (partitioning, caching, cluster sizing).
- Good communication skills and comfort working directly with client stakeholders when needed.
- Databricks Certified Data Engineer Associate/Professional certification.
- Exposure to data governance and security frameworks (row/column-level security, data masking).
- Prior experience in a consulting/IT services environment delivering to multiple clients.
- Familiarity with orchestration tools (Airflow) and ingestion tools (Fivetran, Kafka, Azure Data Factory).
- Within 3 months: Comfortable with Kanerika's delivery standards; has built or contributed to at least one reusable accelerator/demo asset.
- Within 6 months: Independently delivering core engineering work on client engagement(s) with minimal oversight.
- Within 12 months: Recognized as a go-to senior engineer on the team, mentoring newer hires and contributing to architecture decisions.
- Leading databricks partnership upgrade to Gold level.
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Job application FAQ
Last updated 18 September 2026
- How do I apply for Lead Data Engineer - Databricks at Kanerika?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kanerika may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Engineer - Databricks role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Engineer - Databricks remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Lead Data Engineer - Databricks role at Kanerika?
- This is a lead Lead Data Engineer - Databricks role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.