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KPIT Technologies GmbH
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Pune · On-site · 5-8 Yrs · Oct 4
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
We are hiring a Data Engineer (5+ Years Experience) for our heavy data analytics project.
Responsibilities
- We are looking for an experienced Data Engineer (5+ years) with strong hands‑on expertise in building high‑performance data pipelines for a heavy data analytics environment. The ideal candidate must excel in Spark (PySpark/Scala), complex SQL, data lake architectures, and data warehouse modeling.
- Experience with cloud data platforms such as Databricks, Azure, or Snowflake will be a strong advantage.
- Data Pipeline & ETL/ELT Development
- Develop and optimize Spark (PySpark/Scala) pipelines
- Ingest, transform, cleanse, and aggregate large datasets
- Build scalable batch and near real‑time pipelines
- Apply Delta Lake optimization, partitioning, caching, and performance tuning
- Heavy Data Analytics
- Write complex aggregation logic (window functions, grouping sets, analytical functions)
- Understand KPIs, metrics, and analytical use cases
- Translate business logic into technical transformations
- Validate outputs against business requirements
- Data Lake Engineering
- Build multi‑layer data lake (Bronze/Silver/Gold)
- Work with Parquet, Delta Lake, ORC and columnar formats
- Implement schema evolution, metadata management, and auditing
- Data Warehouse Engineering
- Design dimensional models: Star Schema, Snowflake Schema
- Build fact and dimension tables
- Optimize table structures and partition strategies
- Databricks (Preferred)
- Develop notebooks and workflows in PySpark/Scala
- Manage clusters, jobs, and Delta Live Tables
- Apply best practices for cost and performance
- SQL Engineering
- Write and optimize complex SQL queries
- Perform data profiling, validation, and analytical computations
- Support dashboards and reporting layers
- Cloud Data Platforms
- Azure: ADF, Synapse, ADLS Gen2 (preferred)
Qualifications
- Spark, PySpark, Scala, Python, SQL, Databricks, Data Lake, DWH, Snowflake, Azure ADF/Synapse/ADLS
- 5+ years of hands-on experience in Data Engineering
- Strong programming: Spark, Scala, Python
- Strong SQL (complex joins, analytical functions, aggregations)
- Spark performance tuning (Delta, shuffle tuning, partitioning)
- Preferred Skills
- Snowflake or modern cloud DWH
- ADF/Synapse/Airflow/dbt
- CI/CD for data pipelines
- Large-scale analytics environment exposure
- Strong understanding of business logic behind analytics
- Ability to convert metrics into technical transformations
- Excellent debugging & problem‑solving capabilities
- Good communication and cross‑functional collaboration
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Data Engineers Expert at KPIT Technologies GmbH?
- 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. KPIT Technologies GmbH may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineers Expert 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 Data Engineers Expert remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineers Expert role at KPIT Technologies GmbH?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.