Python Data Engineer at ShyftLabs

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Data ProductIndustries

Skills

Key technologies and capabilities for this role

PythonSQLETLELTData StreamingPandasSoftware Design PatternsCI/CDInfrastructure as Code

Questions & Answers

Common questions about this position

What compensation and benefits are offered for this role?

The position offers a competitive salary alongside a strong insurance package.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key skills required for the Python Data Engineer role?

Candidates need 5+ years of professional experience with Python and SQL, strong understanding of software engineering best practices including testing, version control, and CI/CD, experience building and optimizing ETL/ELT processes and data pipelines, proficiency with SQL and database concepts, and experience with data processing frameworks like Pandas.

What is the company culture like at ShyftLabs?

ShyftLabs is a growing data product company founded in 2020 that works with Fortune 500 companies, emphasizes collaborative work with cross-functional teams, and prides itself on employee growth with extensive learning and development resources.

What makes a strong candidate for this Python Data Engineer position?

A strong candidate has 5+ years of Python and SQL experience, expertise in ETL/ELT pipelines and data streaming, plus preferred skills like GCP services (Cloud Run, Dataflow), Pub/Sub, Airflow, and tools like Snowflake or BigQuery.

ShyftLabs

Data-driven decision-making solutions for organizations

About ShyftLabs

ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.

None, CanadaHeadquarters

2018Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, ConsultingIndustries

11-50Employees

Python Data Engineer at ShyftLabs

Skills

Questions & Answers

ShyftLabs

About ShyftLabs

Benefits

Health Insurance

Hybrid Work Options

Professional Development Budget

Risks

Increased competition from startups offering innovative, cost-effective solutions.

Growing demand for in-house analytics teams reducing reliance on consultants.

Rapid AI advancements may outpace ShyftLabs' current technology offerings.

Differentiation

ShyftLabs specializes in data governance, warehousing, and predictive analysis services.

The firm empowers organizations with a data-first approach for decision-making.

ShyftLabs establishes processes for faster, insightful decisions to outpace competition.

Upsides

Increased demand for data governance due to stricter privacy regulations.

Growing interest in predictive analytics in retail for inventory optimization.

Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.

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