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Skills deep-dive

Data Engineering

Section 1 / The Floor

The minimum skill expectations for the role

The most common fresher-accessible role in this profile, reduced to its essential skills. Target this stack to get hired quickest.

5MUST-HAVE SKILLS
Skills · ranked by prevalence
01Python73.4%the glue for every pipeline step
02SQL61.3%the pipeline language before anything else
03ETL30.1%the job in three letters
04Data Pipelines28.4%what gets built and owned
05Data Transformation14.2%raw feeds into usable tables
Floor skills derived from validated fresher-accessible postings across Indian job boards for the data engineering profile.
Section 2 / Pick Your Track

Where to specialize once you're in

Sub-tracks within this profile. Picking one is not optional.

01

DATA PLATFORM

← THE DEFAULT
FA share85.5%of fresher postings
Entry pay₹4to ₹12LPA · min to typical
On top of the floor
AWSSparkJavaAzure

Led by MNCs and GCCs and services firms, with product companies and some elite tech.

02

DATABASE-CENTRIC

← THE SQL-HEAVY TRACK
FA share14.5%of fresher postings
Entry pay₹4to ₹12LPA · min to typical · profile-wide
On top of the floor
AWS

MNC-led, then a scatter of startups, services firms and smaller employers.

Small sample, so treat this track's shape as indicative only.
Track shares and entry-level salary ranges (minimum to mean) derived from validated fresher-accessible postings across Indian job boards for the data engineering profile.
Section 3 / The Skill Arc

The skills that grow with your seniority

Two things. Which skills grow more important with seniority, and which carry over when switching profiles.

A

Senior skew - what skills grow more important with seniority.

Rising · FA → SR
01PySpark
FA9.2%
SR21.3%
+12.1 pp
02Azure DevOps
FA7.1%
SR16.5%
+9.4 pp
03Distributed Systems
FA12.4%
SR20.2%
+7.8 pp
04Hadoop
FA10.3%
SR17.9%
+7.6 pp
05Spark
FA33.7%
SR41.0%
+7.3 pp
06Data Pipelines
FA28.4%
SR35.5%
+7.1 pp
07Scala
FA16.3%
SR22.6%
+6.3 pp
08Kubernetes
FA14.2%
SR20.5%
+6.3 pp
Fading · FA → SR
01Python
FA73.4%
SR61.1%
-12.3 pp
02Problem Solving
FA36.9%
SR29.5%
-7.4 pp
B

Portability - what skills remain valued in other profiles.

Portable · cross-profile spread (out of 15)
01SQL
12/15
Data Analytics & BI64%Fullstack Development42%Backend Development34%
02Java
12/15
Backend Development59%QA & Testing42%Fullstack Development39%
03Python
11/15
Data Science & ML78%AI & LLM Applications76%DevOps & Platform Engineering54%
04AWS
10/15
DevOps & Platform Engineering44%Fullstack Development41%Backend Development39%
05Docker
8/15
Backend Development28%DevOps & Platform Engineering25%AI & LLM Applications24%
06Kubernetes
8/15
DevOps & Platform Engineering35%Security Engineering27%Backend Development22%
07Azure
7/15
AI & LLM Applications28%DevOps & Platform Engineering28%Security Engineering26%
08GCP
7/15
AI & LLM Applications26%Security Engineering25%DevOps & Platform Engineering22%
09Distributed Systems
7/15
Backend Development20%DevOps & Platform Engineering16%Data Science & ML15%
10PostgreSQL
4/15
Fullstack Development28%Backend Development22%AI & LLM Applications12%
Locked · stays inside the profile
01Spark1/15
02ETL1/15
03Databricks1/15
04Snowflake1/15
05Airflow1/15
06Data Pipelines2/15
07Kafka2/15
08Data Modeling2/15
09Data Warehousing2/15
Skill arc derived from validated postings across Indian job boards for the data engineering profile, comparing fresher-accessible and senior prevalence. Cross-profile spread computed at a one-in-ten prevalence threshold across all 15 profiles.
Section 4 / Targeting your Company Pool

Which skills each employer tier wants

Two distinct company pools with different skill profiles.

MAANG and Tier-1 Global Tech

n = 272usable
CompaniesGoogleAmazonMetaStripeAtlassian
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
56.6%
Distributed Systems
2.6%
+54.0 pp
56.6%
Java
16.7%
+40.0 pp
36.0%
C/C++
1.3%
+34.7 pp
26.5%
JavaScript
1.8%
+24.7 pp
23.5%
Scalability
1.8%
+21.8 pp
27.6%
Code Reviews
9.6%
+17.9 pp
16.5%
Database Monitoring
2.6%
+13.9 pp
21.3%
Data Processing
8.3%
+13.0 pp
15.1%
Flink
3.1%
+12.0 pp

IT Services & BPO

n = 228usable
CompaniesTCSInfosysWiproLTIMindtreeCognizant
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
6.2%
Agile
34.6%
-28.4 pp
1.1%
PySpark
24.6%
-23.5 pp
5.9%
Databricks
27.2%
-21.3 pp
9.2%
GCP
27.2%
-18.0 pp
0.0%
SOLID
15.8%
-15.8 pp
22.1%
ETL
36.0%
-13.9 pp
33.1%
SQL
46.1%
-13.0 pp
7.7%
Data Warehousing
20.2%
-12.5 pp
15.4%
SDLC
24.6%
-9.1 pp
Company-pool skills derived from validated postings across Indian job boards for the data engineering profile, scoped to two company classes: MAANG and Tier-1 Global Tech, and IT Services & BPO.