Data Engineer Jobs Opening in For a Client of TeamLease Services Ltd. at Mysuru

Data Lake / ETL Engineer – 4+ Years

Role Overview

We are seeking a Data Lake / ETL Engineer with 4+ years of experience in designing,

developing, and maintaining data pipelines and ETL/ELT processes. The role focuses

on building and optimizing data ingestion, transformation, and storage solutions that

enable business analytics, AI/ML use cases, and secure enterprise data lakes.

Key Responsibilities

 Pipeline Development

o Build and maintain ETL/ELT pipelines for structured and semi-structured

data.

o Support data ingestion from databases, APIs, streaming platforms, and

flat files.

o Ensure data quality, integrity, and lineage across data flows.

 Data Lake Engineering

o Assist in the design and development of data lake solutions on cloud and

on-prem.

o Implement storage and retrieval mechanisms optimized for performance.

o Manage metadata and cataloging for discoverability and governance.

 Performance & Optimization

o Tune ETL workflows for efficiency and cost-effectiveness.

o Implement partitioning, indexing, and caching for large-scale data

processing.

o Automate repetitive data preparation tasks.

 Collaboration & Support

o Work with data scientists and analysts to deliver clean and reliable

datasets.

o Collaborate with senior engineers on best practices for data modeling and

pipeline design.

o Provide L2 support for production pipelines and help troubleshoot failures.

Required Skills & Experience

 4+ years of experience in data engineering or ETL development.

 Proficiency in SQL and Python (or Scala/Java) for data transformations.

 Hands-on with ETL tools (Informatica, Talend, dbt, SSIS, Glue, or similar).

 Exposure to big data technologies (Hadoop, Spark, Hive, Delta Lake).

 Familiarity with cloud data platforms (AWS Glue/Redshift, Azure Data

Factory/Synapse, GCP Dataflow/BigQuery).

 Understanding of workflow orchestration (Airflow, Oozie, Prefect, or Temporal).

Preferred Knowledge

 Experience with real-time data pipelines using Kafka, Kinesis, or Pub/Sub.

 Basic understanding of data warehousing and dimensional modeling.

 Exposure to containerization and CI/CD pipelines for data engineering.

 Knowledge of data security practices (masking, encryption, RBAC).

Education & Certifications

 Bachelor’s degree in Computer Science, IT, or related field.

 Preferred certifications:

o AWS Data Analytics – Specialty / Azure Data Engineer Associate / GCP

Data Engineer.

o dbt or Informatica/Talend certifications.