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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
01Python72.1%the glue for every pipeline step
02SQL60.3%the pipeline language before anything else
03ETL31.0%the job in three letters
04Data Pipelines27.5%what gets built and owned
05Data Transformation15.3%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 share83.4%of fresher postings
Entry pay₹4to ₹11LPA · min to typical · profile-wide
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 share16.6%of fresher postings
Entry pay₹4to ₹11LPA · 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
FA9.6%
SR21.6%
+12.0 pp
02Azure DevOps
FA5.7%
SR17.4%
+11.7 pp
03Spark
FA32.3%
SR43.6%
+11.3 pp
04Scala
FA13.5%
SR23.4%
+9.9 pp
05Azure
FA30.6%
SR39.6%
+9.0 pp
06Hadoop
FA10.9%
SR19.7%
+8.8 pp
07Data Pipelines
FA27.5%
SR36.1%
+8.6 pp
08Distributed Systems
FA13.1%
SR20.4%
+7.3 pp
09Data Modeling
FA21.4%
SR28.0%
+6.6 pp
Fading · FA → SR
01Python
FA72.1%
SR63.2%
-8.9 pp
02Problem Solving
FA38.0%
SR30.3%
-7.7 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 = 230usable
CompaniesGoogleAmazonMetaStripeAtlassian
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
59.1%
Distributed Systems
2.5%
+56.7 pp
61.7%
Java
17.2%
+44.6 pp
40.4%
C/C++
1.5%
+39.0 pp
28.7%
JavaScript
2.0%
+26.7 pp
25.2%
Scalability
1.5%
+23.7 pp
19.6%
Database Monitoring
2.5%
+17.1 pp
25.7%
Code Reviews
10.3%
+15.4 pp
53.0%
Spark
38.2%
+14.8 pp
23.0%
Data Processing
8.3%
+14.7 pp

IT Services & BPO

n = 204usable
CompaniesTCSInfosysWiproLTIMindtreeCognizant
Skill skew · MAANG and Tier-1 Global Tech vs IT Services & BPO
% in MAANGSkill% in IT ServicesSkew
7.0%
Agile
36.8%
-29.8 pp
0.9%
PySpark
23.0%
-22.2 pp
6.5%
Databricks
25.5%
-19.0 pp
9.6%
GCP
27.9%
-18.4 pp
0.0%
SOLID
17.6%
-17.6 pp
1.7%
Requirements Analysis
16.2%
-14.4 pp
14.8%
SDLC
27.5%
-12.7 pp
7.8%
Data Warehousing
17.6%
-9.8 pp
23.9%
ETL
31.9%
-7.9 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.